Experiments with fbpath models

Prologue, Data

Load everything...


In [15]:
%load_ext autoreload
%autoreload 2
from fbpathtrain import VectorizedData
import json
import numpy as np
from pprint import pprint
from sklearn.multiclass import OneVsRestClassifier
from IPython.display import display, HTML


The autoreload extension is already loaded. To reload it, use:
  %reload_ext autoreload

In [3]:
with open('wq-fbpath/trainmodel.json') as f:
    train = json.load(f)
with open('wq-fbpath/val.json') as f:
    val = json.load(f)
with open('wq-fbpath/devtest.json') as f:
    devtest = json.load(f)

In [4]:
vtrain = VectorizedData(train)
vval = VectorizedData(val, vtrain.Xdict, vtrain.Ydict)
vdevtest = VectorizedData(devtest, vtrain.Xdict, vtrain.Ydict)


dropped 58 out of 1080 labels (not in training set)
dropped 20 out of 270 labels (not in training set)

Below are a few debug prints and experiments...


In [12]:
vtrain.X, vval.X, vdevtest.X


Out[12]:
(<2834x2487 sparse matrix of type '<type 'numpy.float64'>'
 	with 25378 stored elements in Compressed Sparse Row format>,
 <755x2487 sparse matrix of type '<type 'numpy.float64'>'
 	with 6312 stored elements in Compressed Sparse Row format>,
 <189x2487 sparse matrix of type '<type 'numpy.float64'>'
 	with 1550 stored elements in Compressed Sparse Row format>)

In [46]:
np.size(vtrain.Y, axis=1)


Out[46]:
479

In [158]:
np.sum(np.sum(vdevtest.Y, axis=1) == np.sum(cfier_bnb.predict(vdevtest.X) * vdevtest.Y, axis=1)) / float(np.size(vdevtest.Y, axis=0))


Out[158]:
0.23280423280423279

In [157]:
np.sum((np.sum(vdevtest.Y, axis=1) != 0) == (np.sum(cfier_bnb.predict(vdevtest.X) * vdevtest.Y, axis=1) != 0))


Out[157]:
50

In [185]:
np.sum((cfier_bnb.predict(vdevtest.X) + vdevtest.Y) == 2), np.sum(cfier_bnb.predict(vdevtest.X))


Out[185]:
(33, 68)

Probability Models


In [47]:
def check_q(cfier, v, d, i):
    probs = cfier.predict_proba(v.X.toarray()[i])[0]
    top_probs = sorted(enumerate(probs), key=lambda k: k[1], reverse=True)
    top_lprobs = ['%s: %.3f' % (v.Ydict.classes_[k[0]], k[1]) for k in top_probs[:5]]
    return '<li><b>%s</b><br><b>in:</b> %s<br><b>out:</b> %s<br><b>outp:</b> %s<br><b>gold:</b> %s</li>' % (
        d[i]['qText'],
        ', '.join(sorted(v.Xdict.inverse_transform(v.X[i])[0].keys(), key=lambda s: reversed(s))),
        ', '.join(v.Ydict.inverse_transform(cfier.predict(v.X.toarray()[i]))[0]),
        ', '.join(top_lprobs),
        ', '.join(v.Ydict.inverse_transform(np.array([v.Y[i]]))[0]))

def score_table(cfier, scorer):
    stable = '<tr><th>dataset</th><th>qRecallAny</th><th>qRecallAll</th><th>pPrec</th><th>pScoreMRR</th></tr>'
    for s, sname in [(vtrain, 'train'), (vval, 'val'), (vdevtest, 'devtest')]:
        score = s.cfier_score(cfier, scorer)
        stable += '<tr><td>%s</td><td>%.3f</td><td>%.3f</td><td>%.3f</td><td>%.3f</td></tr>' % (
                sname, score['qRecallAny'], score['qRecallAll'], score['pPrec'], score['qScoreMRR'])
    return stable

def demo_model(cfier):
    stable = score_table(cfier, lambda cfier, X: cfier.predict_proba(X))
    display(HTML('<table>'+stable+'</table>'))
    display(HTML('<ul>'))
    for i in range(10):
        display(HTML(check_q(cfier, vdevtest, devtest, i)))
    display(HTML('</ul>'))

In [260]:
from sklearn.naive_bayes import BernoulliNB
cfier_bnb = OneVsRestClassifier(BernoulliNB(fit_prior=False), n_jobs=4)
pprint(cfier_bnb.fit(vtrain.X, vtrain.Y))
demo_model(cfier_bnb)


OneVsRestClassifier(estimator=BernoulliNB(alpha=1.0, binarize=0.0, class_prior=None, fit_prior=False),
          n_jobs=4)
datasetqRecallAnyqRecallAllpPrecpScoreMRR
train0.2420.2040.3120.349
val0.2500.2200.3130.309
devtest0.2650.2330.4850.337
  • what is the name of justin bieber brother?
    in: lat/religious person/WordnetLAT, lat/associate/WordnetLAT, lat/friend/WordnetLAT, lat/member/WordnetLAT, lat/relative/WordnetLAT, lat/peer/WordnetLAT, lat/brother/LAT, lat/monk/WordnetLAT, lat/male sibling/WordnetLAT, lat/religious/WordnetLAT, lat/kinsman/WordnetLAT, lat/person/WordnetLAT
    out:
    outp: /people/person/profession: 0.000, /people/person/spouse_s|/people/marriage/spouse: 0.000, /location/location/containedby: 0.000, /people/person/place_of_birth: 0.000, /people/person/places_lived|/people/place_lived/location: 0.000
    gold: /people/person/sibling_s|/people/sibling_relationship/sibling
  • where to fly into bali?
    in: sv=fly, lat/location/QuestionWordLAT
    out:
    outp: /location/location/containedby: 0.000, /people/person/places_lived|/people/place_lived/location: 0.000, /people/person/place_of_birth: 0.000, /people/person/education|/education/education/institution: 0.000, /people/person/profession: 0.000
    gold:
  • what is cher's son's name?
    in: lat/relative/WordnetLAT, lat/cognition/WordnetLAT, lat/Godhead/WordnetLAT, lat/male offspring/WordnetLAT, lat/content/WordnetLAT, lat/belief/WordnetLAT, lat/offspring/WordnetLAT, lat/male/WordnetLAT, lat/God/WordnetLAT, lat/person/WordnetLAT, lat/son/LAT, lat/child/WordnetLAT, lat/spiritual being/WordnetLAT, lat/hypostasis/WordnetLAT
    out:
    outp: /people/person/spouse_s|/people/marriage/spouse: 0.000, /location/location/containedby: 0.000, /people/person/profession: 0.000, /people/person/education|/education/education/institution: 0.000, /people/person/place_of_birth: 0.000
    gold: /people/person/children
  • what countries do people speak portuguese?
    in: lat/administrative district/WordnetLAT, lat/unit/WordnetLAT, lat/people/WordnetLAT, lat/organization/WordnetLAT, lat/group/WordnetLAT, lat/social group/WordnetLAT, lat/district/WordnetLAT, lat/region/WordnetLAT, lat/location/WordnetLAT, lat/political unit/WordnetLAT, lat/country/ImplicitQLAT, sv=speak, lat/geographical area/WordnetLAT, lat/countries/LAT
    out:
    outp: /location/location/containedby: 0.000, /location/location/contains: 0.000, /people/person/places_lived|/people/place_lived/location: 0.000, /location/location/adjoin_s|/location/adjoining_relationship/adjoins: 0.000, /people/person/place_of_birth: 0.000
    gold: /language/human_language/countries_spoken_in, /language/human_language/main_country
  • who was vincent van gogh inspired by?
    in: sv=inspired
    out:
    outp: /location/location/containedby: 0.000, /people/person/places_lived|/people/place_lived/location: 0.000, /people/person/place_of_birth: 0.000, /people/person/education|/education/education/institution: 0.000, /people/person/profession: 0.000
    gold: /influence/influence_node/influenced_by
  • when will oscar pistorius compete?
    in: sv=compete, lat/time/QuestionWordLAT, lat/date/QuestionWordLAT
    out:
    outp: /location/location/containedby: 0.000, /people/person/places_lived|/people/place_lived/location: 0.000, /people/person/profession: 0.000, /people/person/place_of_birth: 0.000, /people/person/education|/education/education/institution: 0.000
    gold:
  • who plays meg in family guy?
    in: lat/person/QuestionWordLAT, sv=plays
    out:
    outp: /location/location/containedby: 0.000, /people/person/places_lived|/people/place_lived/location: 0.000, /people/person/profession: 0.000, /people/person/education|/education/education/institution: 0.000, /people/person/place_of_birth: 0.000
    gold: /cvg/game_character/games|/cvg/game_performance/voice_actor, /film/film_character/portrayed_in_films|/film/performance/actor, /tv/tv_character/appeared_in_tv_episodes|/tv/tv_guest_role/actor, /tv/tv_character/appeared_in_tv_program|/tv/regular_tv_appearance/actor
  • what stadium did the chicago cardinals play in?
    in: lat/artifact/WordnetLAT, lat/stadium/LAT, sv=play, lat/structure/WordnetLAT
    out:
    outp: /people/person/education|/education/education/institution: 0.000, /location/location/containedby: 0.000, /people/person/profession: 0.000, /sports/pro_athlete/teams|/sports/sports_team_roster/team: 0.000, /people/person/places_lived|/people/place_lived/location: 0.000
    gold: /sports/sports_team/arena_stadium, /sports/sports_team/venue|/sports/team_venue_relationship/venue
  • who was the apostle paul considered to be?
    in: lat/attitude/WordnetLAT, sv=considered, lat/position/WordnetLAT, lat/cognition/WordnetLAT, lat/orientation/WordnetLAT
    out:
    outp: /location/location/containedby: 0.000, /people/person/places_lived|/people/place_lived/location: 0.000, /people/person/education|/education/education/institution: 0.000, /people/person/profession: 0.000, /people/person/place_of_birth: 0.000
    gold:
  • which countries are part of the united kingdom?
    in: lat/people/WordnetLAT, lat/countries/LAT, lat/district/WordnetLAT, lat/location/WordnetLAT, lat/geographical area/WordnetLAT, lat/region/WordnetLAT, lat/organization/WordnetLAT, lat/unit/WordnetLAT, lat/country/ImplicitQLAT, lat/administrative district/WordnetLAT, lat/social group/WordnetLAT, lat/group/WordnetLAT, lat/political unit/WordnetLAT
    out:
    outp: /location/location/containedby: 0.000, /location/location/contains: 0.000, /people/person/places_lived|/people/place_lived/location: 0.000, /people/person/place_of_birth: 0.000, /location/location/adjoin_s|/location/adjoining_relationship/adjoins: 0.000
    gold: /location/location/containedby
  • 
    
    In [253]:
    from sklearn.naive_bayes import MultinomialNB
    cfier_mnb = OneVsRestClassifier(MultinomialNB(), n_jobs=4)
    pprint(cfier_mnb.fit(vtrain.X, vtrain.Y))
    demo_model(cfier_mnb)
    
    
    
    
    OneVsRestClassifier(estimator=MultinomialNB(alpha=1.0, class_prior=None, fit_prior=True),
              n_jobs=4)
    
    datasetqRecallAnyqRecallAllpPrecpScoreMRR
    train0.4680.3960.2100.659
    val0.3640.2910.4540.529
    devtest0.3970.3540.5210.557
  • what is the name of justin bieber brother?
    in: lat/peer/WordnetLAT, lat/relative/WordnetLAT, lat/associate/WordnetLAT, lat/member/WordnetLAT, lat/monk/WordnetLAT, lat/brother/LAT, lat/religious/WordnetLAT, lat/religious person/WordnetLAT, lat/male sibling/WordnetLAT, lat/friend/WordnetLAT, lat/kinsman/WordnetLAT, lat/person/WordnetLAT
    out: /fictional_universe/fictional_character/romantically_involved_with|/fictional_universe/romantic_involvement/partner, /fictional_universe/fictional_character/siblings|/fictional_universe/sibling_relationship_of_fictional_characters/siblings, /people/person/sibling_s|/people/sibling_relationship/sibling
    outp: /people/person/sibling_s|/people/sibling_relationship/sibling: 1.000, /fictional_universe/fictional_character/siblings|/fictional_universe/sibling_relationship_of_fictional_characters/siblings: 0.990, /fictional_universe/fictional_character/romantically_involved_with|/fictional_universe/romantic_involvement/partner: 0.715, /people/person/spouse_s|/people/marriage/spouse: 0.482, /people/person/parents: 0.247
    gold: /people/person/sibling_s|/people/sibling_relationship/sibling
  • where to fly into bali?
    in: sv=fly, lat/location/QuestionWordLAT
    out:
    outp: /location/location/containedby: 0.044, /people/person/places_lived|/people/place_lived/location: 0.036, /people/person/place_of_birth: 0.030, /people/person/education|/education/education/institution: 0.020, /location/location/contains: 0.008
    gold:
  • what is cher's son's name?
    in: lat/God/WordnetLAT, lat/person/WordnetLAT, lat/relative/WordnetLAT, lat/offspring/WordnetLAT, lat/male/WordnetLAT, lat/belief/WordnetLAT, lat/male offspring/WordnetLAT, lat/content/WordnetLAT, lat/cognition/WordnetLAT, lat/Godhead/WordnetLAT, lat/son/LAT, lat/child/WordnetLAT, lat/spiritual being/WordnetLAT, lat/hypostasis/WordnetLAT
    out: /people/person/children
    outp: /people/person/children: 0.999, /people/person/parents: 0.221, /people/person/sibling_s|/people/sibling_relationship/sibling: 0.061, /people/person/spouse_s|/people/marriage/spouse: 0.027, /people/deceased_person/cause_of_death: 0.001
    gold: /people/person/children
  • what countries do people speak portuguese?
    in: lat/political unit/WordnetLAT, lat/country/ImplicitQLAT, lat/administrative district/WordnetLAT, lat/unit/WordnetLAT, lat/people/WordnetLAT, lat/organization/WordnetLAT, lat/group/WordnetLAT, lat/social group/WordnetLAT, lat/district/WordnetLAT, lat/region/WordnetLAT, lat/location/WordnetLAT, sv=speak, lat/geographical area/WordnetLAT, lat/countries/LAT
    out:
    outp: /location/location/adjoin_s|/location/adjoining_relationship/adjoins: 0.203, /location/location/contains: 0.000, /people/person/nationality: 0.000, /location/statistical_region/places_exported_to|/location/imports_and_exports/exported_to: 0.000, /language/human_language/countries_spoken_in: 0.000
    gold: /language/human_language/countries_spoken_in, /language/human_language/main_country
  • who was vincent van gogh inspired by?
    in: sv=inspired
    out:
    outp: /influence/influence_node/influenced_by: 0.114, /location/location/containedby: 0.058, /people/person/places_lived|/people/place_lived/location: 0.044, /people/person/education|/education/education/institution: 0.042, /people/person/place_of_birth: 0.041
    gold: /influence/influence_node/influenced_by
  • when will oscar pistorius compete?
    in: sv=compete, lat/time/QuestionWordLAT, lat/date/QuestionWordLAT
    out:
    outp: /sports/sports_team/championships: 0.161, /location/location/contains: 0.004, /book/book_subject/works: 0.003, /location/location/events: 0.002, /location/location/containedby: 0.002
    gold:
  • who plays meg in family guy?
    in: sv=plays, lat/person/QuestionWordLAT
    out:
    outp: /tv/tv_character/appeared_in_tv_program|/tv/regular_tv_appearance/actor: 0.362, /film/film_character/portrayed_in_films|/film/performance/actor: 0.350, /tv/tv_character/appeared_in_tv_episodes|/tv/tv_guest_role/actor: 0.008, /film/film/starring|/film/performance/actor: 0.006, /government/governmental_jurisdiction/governing_officials|/government/government_position_held/office_holder: 0.002
    gold: /cvg/game_character/games|/cvg/game_performance/voice_actor, /film/film_character/portrayed_in_films|/film/performance/actor, /tv/tv_character/appeared_in_tv_episodes|/tv/tv_guest_role/actor, /tv/tv_character/appeared_in_tv_program|/tv/regular_tv_appearance/actor
  • what stadium did the chicago cardinals play in?
    in: sv=play, lat/artifact/WordnetLAT, lat/stadium/LAT, lat/structure/WordnetLAT
    out:
    outp: /people/person/education|/education/education/institution: 0.111, /sports/pro_athlete/teams|/sports/sports_team_roster/team: 0.027, /film/actor/film|/film/performance/film: 0.023, /award/award_nominee/award_nominations|/award/award_nomination/nominated_for: 0.006, /award/award_winner/awards_won|/award/award_honor/honored_for: 0.004
    gold: /sports/sports_team/arena_stadium, /sports/sports_team/venue|/sports/team_venue_relationship/venue
  • who was the apostle paul considered to be?
    in: lat/position/WordnetLAT, lat/attitude/WordnetLAT, sv=considered, lat/cognition/WordnetLAT, lat/orientation/WordnetLAT
    out:
    outp: /travel/travel_destination/tourist_attractions: 0.103, /common/topic/notable_for: 0.051, /location/country/languages_spoken: 0.021, /location/country/official_language: 0.019, /government/politician/government_positions_held|/government/government_position_held/office_position_or_title: 0.014
    gold:
  • which countries are part of the united kingdom?
    in: lat/political unit/WordnetLAT, lat/country/ImplicitQLAT, lat/administrative district/WordnetLAT, lat/people/WordnetLAT, lat/district/WordnetLAT, lat/location/WordnetLAT, lat/countries/LAT, lat/geographical area/WordnetLAT, lat/region/WordnetLAT, lat/unit/WordnetLAT, lat/organization/WordnetLAT, lat/group/WordnetLAT, lat/social group/WordnetLAT
    out: /location/location/adjoin_s|/location/adjoining_relationship/adjoins
    outp: /location/location/adjoin_s|/location/adjoining_relationship/adjoins: 0.687, /location/location/contains: 0.004, /people/person/nationality: 0.002, /location/statistical_region/places_exported_to|/location/imports_and_exports/exported_to: 0.000, /location/location/containedby: 0.000
    gold: /location/location/containedby
  • 
    
    In [256]:
    from sklearn.naive_bayes import GaussianNB
    cfier_gnb = OneVsRestClassifier(GaussianNB(), n_jobs=4)
    pprint(cfier_gnb.fit(vtrain.X.toarray(), vtrain.Y))
    demo_model(cfier_gnb)
    
    
    
    
    OneVsRestClassifier(estimator=GaussianNB(), n_jobs=4)
    
    ---------------------------------------------------------------------------
    KeyboardInterrupt                         Traceback (most recent call last)
    <ipython-input-256-0d27179e6cb5> in <module>()
          2 cfier_gnb = OneVsRestClassifier(GaussianNB(), n_jobs=4)
          3 pprint(cfier_gnb.fit(vtrain.X.toarray(), vtrain.Y))
    ----> 4 demo_model(cfier_gnb)
    
    <ipython-input-255-0adde9d59df6> in demo_model(cfier)
         19 
         20 def demo_model(cfier):
    ---> 21     stable = score_table(cfier, lambda cfier, X: cfier.predict_proba(X.toarray()))
         22     display(HTML('<table>'+stable+'</table>'))
         23     display(HTML('<ul>'))
    
    <ipython-input-255-0adde9d59df6> in score_table(cfier, scorer)
         13     stable = '<tr><th>dataset</th><th>qRecallAny</th><th>qRecallAll</th><th>pPrec</th><th>pScoreMRR</th></tr>'
         14     for s, sname in [(vtrain, 'train'), (vval, 'val'), (vdevtest, 'devtest')]:
    ---> 15         score = cfier_score(cfier, s, scorer)
         16         stable += '<tr><td>%s</td><td>%.3f</td><td>%.3f</td><td>%.3f</td><td>%.3f</td></tr>' % (
         17                 sname, score['qRecallAny'], score['qRecallAll'], score['pPrec'], score['qScoreMRR'])
    
    <ipython-input-249-3bb5fba6bd2b> in cfier_score(cfier, vset, scorer)
          6 
          7     # Measure prediction performance
    ----> 8     Ypred = cfier.predict(vset.X.toarray())
          9     n_q = float(np.size(vset.Y, axis=0))
         10     # number of questions where all correct paths have been recalled
    
    /usr/lib/python2.7/dist-packages/sklearn/multiclass.pyc in predict(self, X)
        319             indptr = array.array('i', [0])
        320             for e in self.estimators_:
    --> 321                 indices.extend(np.where(_predict_binary(e, X) > thresh)[0])
        322                 indptr.append(len(indices))
        323             data = np.ones(len(indices), dtype=int)
    
    /usr/lib/python2.7/dist-packages/sklearn/multiclass.pyc in _predict_binary(estimator, X)
         82     except (AttributeError, NotImplementedError):
         83         # probabilities of the positive class
    ---> 84         score = estimator.predict_proba(X)[:, 1]
         85     return score
         86 
    
    /usr/lib/python2.7/dist-packages/sklearn/naive_bayes.pyc in predict_proba(self, X)
        100             order, as they appear in the attribute `classes_`.
        101         """
    --> 102         return np.exp(self.predict_log_proba(X))
        103 
        104 
    
    /usr/lib/python2.7/dist-packages/sklearn/naive_bayes.pyc in predict_log_proba(self, X)
         80             order, as they appear in the attribute `classes_`.
         81         """
    ---> 82         jll = self._joint_log_likelihood(X)
         83         # normalize by P(x) = P(f_1, ..., f_n)
         84         log_prob_x = logsumexp(jll, axis=1)
    
    /usr/lib/python2.7/dist-packages/sklearn/naive_bayes.pyc in _joint_log_likelihood(self, X)
        342             n_ij = - 0.5 * np.sum(np.log(2. * np.pi * self.sigma_[i, :]))
        343             n_ij -= 0.5 * np.sum(((X - self.theta_[i, :]) ** 2) /
    --> 344                                  (self.sigma_[i, :]), 1)
        345             joint_log_likelihood.append(jointi + n_ij)
        346 
    
    KeyboardInterrupt: 
    
    
    In [9]:
    from sklearn.linear_model import LogisticRegression
    cfier_log = OneVsRestClassifier(LogisticRegression(class_weight='auto'), n_jobs=4)
    pprint(cfier_log.fit(vtrain.X, vtrain.Y))
    demo_model(cfier_log)
    
    
    
    
    OneVsRestClassifier(estimator=LogisticRegression(C=1.0, class_weight='auto', dual=False, fit_intercept=True,
              intercept_scaling=1, max_iter=100, multi_class='ovr',
              penalty='l2', random_state=None, solver='liblinear', tol=0.0001,
              verbose=0),
              n_jobs=4)
    
    datasetqRecallAnyqRecallAllpPrecpScoreMRR
    train0.9770.9680.0520.761
    val0.7770.7190.0340.527
    devtest0.7880.7350.0360.605
  • what is the name of justin bieber brother?
    in: lat/relative/WordnetLAT, lat/religious/WordnetLAT, lat/peer/WordnetLAT, lat/associate/WordnetLAT, lat/monk/WordnetLAT, lat/religious person/WordnetLAT, lat/member/WordnetLAT, lat/friend/WordnetLAT, lat/person/WordnetLAT, lat/kinsman/WordnetLAT, lat/brother/LAT, lat/male sibling/WordnetLAT
    out: /celebrities/celebrity/celebrity_friends|/celebrities/friendship/friend, /comic_books/comic_book_series/publisher, /fictional_universe/fictional_character/romantically_involved_with|/fictional_universe/romantic_involvement/partner, /fictional_universe/fictional_character/siblings|/fictional_universe/sibling_relationship_of_fictional_characters/siblings, /people/person/children, /people/person/sibling_s|/people/sibling_relationship/sibling, /religion/religious_organization/leaders|/religion/religious_organization_leadership/role
    outp: /people/person/sibling_s|/people/sibling_relationship/sibling: 0.952, /fictional_universe/fictional_character/siblings|/fictional_universe/sibling_relationship_of_fictional_characters/siblings: 0.876, /fictional_universe/fictional_character/romantically_involved_with|/fictional_universe/romantic_involvement/partner: 0.872, /celebrities/celebrity/celebrity_friends|/celebrities/friendship/friend: 0.664, /religion/religious_organization/leaders|/religion/religious_organization_leadership/role: 0.531
    gold: /people/person/sibling_s|/people/sibling_relationship/sibling
  • where to fly into bali?
    in: sv=fly, lat/location/QuestionWordLAT
    out: /american_football/football_coach/current_team_head_coached, /american_football/football_player/passing|/american_football/player_passing_statistics/team, /amusement_parks/park/location, /architecture/architect/structures_designed, /aviation/airline/airports_served|/aviation/airline_airport_presence/airport, /aviation/airport/serves, /award/hall_of_fame/address|/location/mailing_address/citytown, /biology/animal_breed/place_of_origin, /book/book_subject/works, /broadcast/content/location, /business/employer/employees|/business/employment_tenure/title, /business/shopping_center/address|/location/mailing_address/citytown, /education/honorary_degree_recipient/honorary_degrees|/education/honorary_degree/institution, /exhibitions/exhibition_subject/exhibitions_created_about_this_subject, /fictional_universe/fictional_character/place_of_birth, /fictional_universe/fictional_character/places_lived, /fictional_universe/fictional_language/where_spoken, /film/film_location/featured_in_films, /geography/island/island_group, /geography/mountain/mountain_range, /geography/river/basin_countries, /geography/river/cities, /geography/river/mouth, /geography/river/origin, /language/human_language/countries_spoken_in, /language/human_language/main_country, /language/human_language/writing_system, /location/administrative_division/country, /location/administrative_division/first_level_division_of, /location/capital_of_administrative_division/capital_of|/location/administrative_division_capital_relationship/administrative_division, /location/country/capital, /location/hud_county_place/county, /location/hud_county_place/place, /location/location/containedby, /location/location/street_address|/location/mailing_address/citytown, /location/neighborhood/neighborhood_of, /location/us_county/county_seat, /martial_arts/martial_artist/martial_art, /military/military_conflict/locations, /music/artist/origin, /organization/organization/headquarters|/location/mailing_address/citytown, /organization/organization/headquarters|/location/mailing_address/country, /organization/organization/headquarters|/location/mailing_address/state_province_region, /organization/organization/phone_number|/common/phone_number/service_location, /organization/organization/place_founded, /people/deceased_person/place_of_burial, /people/deceased_person/place_of_death, /people/ethnicity/geographic_distribution, /people/ethnicity/included_in_group, /people/person/nationality, /people/person/place_of_birth, /people/person/places_lived|/people/place_lived/location, /people/person/spouse_s|/people/marriage/location_of_ceremony, /religion/religion/founding_figures, /religion/religious_organization/jurisdictions, /time/event/locations, /travel/tourist_attraction/near_travel_destination, /travel/travel_destination/local_transportation, /tv/tv_program/country_of_origin, /type/object/name, /visual_art/art_subject/artwork_on_the_subject
    outp: /organization/organization/headquarters|/location/mailing_address/citytown: 0.753, /type/object/name: 0.720, /organization/organization/place_founded: 0.713, /aviation/airline/airports_served|/aviation/airline_airport_presence/airport: 0.693, /music/artist/origin: 0.691
    gold:
  • what is cher's son's name?
    in: lat/person/WordnetLAT, lat/relative/WordnetLAT, lat/cognition/WordnetLAT, lat/God/WordnetLAT, lat/male/WordnetLAT, lat/child/WordnetLAT, lat/male offspring/WordnetLAT, lat/content/WordnetLAT, lat/belief/WordnetLAT, lat/offspring/WordnetLAT, lat/son/LAT, lat/Godhead/WordnetLAT, lat/spiritual being/WordnetLAT, lat/hypostasis/WordnetLAT
    out: /fictional_universe/fictional_character/married_to|/fictional_universe/marriage_of_fictional_characters/spouses, /fictional_universe/fictional_character/siblings|/fictional_universe/sibling_relationship_of_fictional_characters/siblings, /olympics/olympic_participating_country/athletes|/olympics/olympic_athlete_affiliation/sport, /people/person/children, /people/person/sibling_s|/people/sibling_relationship/sibling, /religion/religion/deities, /sports/sport_country/athletes|/sports/competitor_country_relationship/sports
    outp: /people/person/children: 0.951, /people/person/sibling_s|/people/sibling_relationship/sibling: 0.900, /fictional_universe/fictional_character/siblings|/fictional_universe/sibling_relationship_of_fictional_characters/siblings: 0.595, /fictional_universe/fictional_character/married_to|/fictional_universe/marriage_of_fictional_characters/spouses: 0.557, /religion/religion/deities: 0.517
    gold: /people/person/children
  • what countries do people speak portuguese?
    in: lat/political unit/WordnetLAT, lat/country/ImplicitQLAT, lat/administrative district/WordnetLAT, lat/unit/WordnetLAT, lat/people/WordnetLAT, lat/organization/WordnetLAT, lat/group/WordnetLAT, lat/social group/WordnetLAT, lat/district/WordnetLAT, lat/region/WordnetLAT, lat/location/WordnetLAT, sv=speak, lat/geographical area/WordnetLAT, lat/countries/LAT
    out: /aviation/airline/airports_served|/aviation/airline_airport_presence/cities_served, /geography/river/basin_countries, /government/governmental_jurisdiction/governing_officials|/government/government_position_held/district_represented, /government/political_appointer/appointees|/government/government_position_held/jurisdiction_of_office, /government/politician/government_positions_held|/government/government_position_held/jurisdiction_of_office, /language/human_language/countries_spoken_in, /language/human_language/main_country, /location/administrative_division/country, /location/administrative_division/second_level_division_of, /location/country/administrative_divisions, /location/country/first_level_divisions, /location/location/adjoin_s|/location/adjoining_relationship/adjoins, /location/location/contains, /location/location/contains_major_portion_of, /location/location/partially_contained_by|/location/partial_containment_relationship/partially_contained_by, /location/location/partially_containedby, /location/location/partially_contains, /location/location/partiallycontains|/location/partial_containment_relationship/partially_contains, /location/location/street_address|/location/mailing_address/country, /location/location/street_address|/location/mailing_address/state_province_region, /location/statistical_region/places_exported_to|/location/imports_and_exports/exported_to, /location/statistical_region/places_imported_from|/location/imports_and_exports/imported_from, /military/military_combatant/casualties|/military/casualties/combatant, /military/military_combatant/force_deployments|/military/force_strength/combatant, /military/military_combatant/includes_allies, /military/military_combatant/military_conflicts|/military/military_combatant_group/combatants, /military/military_commander/military_commands|/military/military_command/military_combatant, /organization/membership_organization/members|/organization/organization_membership/member, /organization/organization/founders, /organization/organization/headquarters|/location/mailing_address/country, /organization/organization_member/member_of|/organization/organization_membership/organization, /people/person/nationality, /royalty/monarch/kingdom, /royalty/noble_person/titles|/royalty/noble_title_tenure/noble_title, /time/time_zone/locations_in_this_time_zone, /travel/tourist_attraction/near_travel_destination, /travel/transport_terminus/travel_destinations_served|/travel/transportation/travel_destination
    outp: /language/human_language/countries_spoken_in: 0.944, /language/human_language/main_country: 0.928, /location/location/adjoin_s|/location/adjoining_relationship/adjoins: 0.920, /location/statistical_region/places_exported_to|/location/imports_and_exports/exported_to: 0.909, /location/location/contains_major_portion_of: 0.909
    gold: /language/human_language/countries_spoken_in, /language/human_language/main_country
  • who was vincent van gogh inspired by?
    in: sv=inspired
    out: /influence/influence_node/influenced, /influence/influence_node/influenced_by
    outp: /influence/influence_node/influenced_by: 0.773, /influence/influence_node/influenced: 0.613, /influence/influence_node/peers|/influence/peer_relationship/peers: 0.499, /sports/sports_team/previously_known_as: 0.489, /people/person/profession: 0.487
    gold: /influence/influence_node/influenced_by
  • when will oscar pistorius compete?
    in: sv=compete, lat/time/QuestionWordLAT, lat/date/QuestionWordLAT
    out: /american_football/football_player/games|/american_football/player_game_statistics/season, /american_football/football_player/passing|/american_football/player_passing_statistics/season, /american_football/football_player/rushing|/american_football/player_rushing_statistics/season, /award/award_nominated_work/award_nominations|/award/award_nomination/year, /award/award_nominee/award_nominations|/award/award_nomination/notes_description, /award/award_nominee/award_nominations|/award/award_nomination/year, /award/award_winner/awards_won|/award/award_honor/notes_description, /award/award_winning_work/awards_won|/award/award_honor/year, /baseball/baseball_player/batting_stats|/baseball/batting_statistics/season, /basketball/basketball_player/player_statistics|/basketball/basketball_player_stats/season, /biology/organism_classification/organisms_of_this_type, /book/book_subject/works, /business/brand/owner_s|/business/company_brand_relationship/company, /business/employer/employees|/business/employment_tenure/from, /business/employer/employees|/business/employment_tenure/person, /event/public_speaker/speeches_or_presentations|/event/speech_or_presentation/speech_topic, /fictional_universe/fictional_setting/fictional_characters_born_here, /film/film_character/portrayed_in_films|/film/performance/film, /film/film_subject/films, /government/governmental_body/members|/government/government_position_held/appointed_by, /government/politician/election_campaigns, /government/us_president/vice_president, /government/us_vice_president/to_president, /language/human_language/writing_system, /location/country/internet_tld, /location/dated_location/date_founded, /location/location/events, /media_common/quotation_subject/quotations_about_this_subject, /meteorology/tropical_cyclone/tropical_cyclone_season, /military/military_combatant/casualties|/military/casualties/military_conflict, /military/military_combatant/force_deployments|/military/force_strength/military_conflict, /music/group_member/membership|/music/group_membership/end, /olympics/olympic_athlete/country|/olympics/olympic_athlete_affiliation/sport, /olympics/olympic_participating_country/athletes|/olympics/olympic_athlete_affiliation/athlete, /olympics/olympic_participating_country/medals_won|/olympics/olympic_medal_honor/medalist, /organization/organization/advisors, /organization/organization_member/member_of|/organization/organization_membership/organization, /organization/organization_scope/organizations_with_this_scope, /people/person/employment_history|/business/employment_tenure/to, /religion/deity/deity_of, /religion/religion/founding_figures, /sports/pro_athlete/sports_played_professionally|/sports/pro_sports_played/sport, /sports/sports_award_winner/awards|/sports/sports_award/season, /sports/sports_team/championships, /sports/sports_team/founded, /sports/sports_team/season_record|/sports/sports_team_season_record/season, /symbols/name_source/namesakes, /time/holiday/day_of_year, /time/recurring_event/current_frequency, /time/recurring_event/instances, /travel/travel_destination/climate|/travel/travel_destination_monthly_climate/month, /tv/tv_actor/guest_roles|/tv/tv_guest_role/episodes_appeared_in, /tv/tv_character/appeared_in_tv_program|/tv/regular_tv_appearance/seasons, /tv/tv_program/country_of_origin
    outp: /time/recurring_event/current_frequency: 0.821, /government/us_president/vice_president: 0.755, /sports/sports_team/championships: 0.753, /travel/travel_destination/climate|/travel/travel_destination_monthly_climate/month: 0.748, /location/country/internet_tld: 0.745
    gold:
  • who plays meg in family guy?
    in: lat/person/QuestionWordLAT, sv=plays
    out: /automotive/company/make_s, /award/award_category/winners|/award/award_honor/award_winner, /award/award_nominated_work/award_nominations|/award/award_nomination/award_nominee, /award/award_nominee/award_nominations|/award/award_nomination/award_nominee, /award/award_winning_work/awards_won|/award/award_honor/award_winner, /boats/ship/owners|/boats/ship_ownership/owner, /book/literary_series/author_s, /book/written_work/author, /book/written_work/subjects, /broadcast/content/artist, /business/consumer_company/brands|/business/company_brand_relationship/brand, /business/employer/employees|/business/employment_tenure/person, /cvg/game_character/games|/cvg/game_performance/voice_actor, /fictional_universe/fictional_character/character_created_by, /fictional_universe/fictional_character/parents, /fictional_universe/person_in_fiction/representations_in_fiction, /film/actor/film|/film/performance/special_performance_type, /film/film/other_crew|/film/film_crew_gig/crewmember, /film/film/starring|/film/performance/actor, /film/film/written_by, /film/film_character/portrayed_in_films|/film/performance/actor, /film/person_or_entity_appearing_in_film/films|/film/personal_film_appearance/type_of_appearance, /government/political_appointer/appointees|/government/government_position_held/office_holder, /influence/influence_node/peers|/influence/peer_relationship/peers, /internet/website/owner, /law/invention/inventor, /media_common/dedicator/dedications|/media_common/dedication/dedicated_to, /music/artist/album, /music/musical_group/member|/music/group_membership/member, /organization/organization/board_members|/organization/organization_board_membership/member, /organization/organization/founders, /organization/organization/leadership|/organization/leadership/person, /organization/organization/leadership|/organization/organization/founders, /organization/organization/parent|/organization/organization_relationship/parent, /people/appointee/position|/people/appointment/appointed_by, /sports/mascot/team, /sports/professional_sports_team/owner_s, /sports/sports_award_type/winners|/sports/sports_award/award_winner, /sports/sports_championship_event/champion, /sports/sports_league/teams|/sports/sports_league_participation/team, /symbols/namesake/named_after, /tv/tv_actor/guest_roles|/tv/tv_guest_role/episodes_appeared_in, /tv/tv_actor/starring_roles|/tv/regular_tv_appearance/special_performance_type, /tv/tv_character/appeared_in_tv_episodes|/tv/tv_guest_role/actor, /tv/tv_character/appeared_in_tv_program|/tv/regular_tv_appearance/actor, /tv/tv_program/program_creator, /tv/tv_program/regular_cast|/tv/regular_tv_appearance/actor, /tv/tv_program/tv_producer|/tv/tv_producer_term/producer, /type/object/name
    outp: /tv/tv_character/appeared_in_tv_program|/tv/regular_tv_appearance/actor: 0.944, /film/film_character/portrayed_in_films|/film/performance/actor: 0.938, /tv/tv_character/appeared_in_tv_episodes|/tv/tv_guest_role/actor: 0.887, /film/film/starring|/film/performance/actor: 0.868, /fictional_universe/fictional_character/character_created_by: 0.862
    gold: /cvg/game_character/games|/cvg/game_performance/voice_actor, /film/film_character/portrayed_in_films|/film/performance/actor, /tv/tv_character/appeared_in_tv_episodes|/tv/tv_guest_role/actor, /tv/tv_character/appeared_in_tv_program|/tv/regular_tv_appearance/actor
  • what stadium did the chicago cardinals play in?
    in: sv=play, lat/artifact/WordnetLAT, lat/stadium/LAT, lat/structure/WordnetLAT
    out: /american_football/football_coach/current_team_head_coached, /american_football/football_player/games|/american_football/player_game_statistics/team, /american_football/football_player/passing|/american_football/player_passing_statistics/team, /american_football/football_player/receiving|/american_football/player_receiving_statistics/team, /american_football/football_player/rushing|/american_football/player_rushing_statistics/team, /basketball/basketball_player/position_s, /film/actor/film|/film/performance/character, /soccer/football_player/goals_scored|/soccer/football_goal/point_awarded_to, /soccer/football_player/matches_played|/soccer/football_player_match_participation/team, /soccer/football_player/transfers|/soccer/football_player_transfer/purchasing_team, /sports/pro_athlete/teams|/sports/sports_team_roster/position, /sports/pro_athlete/teams|/sports/sports_team_roster/team, /sports/sports_team/arena_stadium, /sports/sports_team/venue|/sports/team_venue_relationship/venue
    outp: /sports/sports_team/venue|/sports/team_venue_relationship/venue: 0.960, /sports/sports_team/arena_stadium: 0.953, /film/actor/film|/film/performance/character: 0.673, /sports/pro_athlete/teams|/sports/sports_team_roster/team: 0.638, /soccer/football_player/goals_scored|/soccer/football_goal/point_awarded_to: 0.632
    gold: /sports/sports_team/arena_stadium, /sports/sports_team/venue|/sports/team_venue_relationship/venue
  • who was the apostle paul considered to be?
    in: lat/position/WordnetLAT, lat/attitude/WordnetLAT, sv=considered, lat/cognition/WordnetLAT, lat/orientation/WordnetLAT
    out: /common/topic/notable_for
    outp: /common/topic/notable_for: 0.513, /common/topic/alias: 0.492, /olympics/olympic_participating_country/athletes|/olympics/olympic_athlete_affiliation/sport: 0.480, /sports/sport_country/athletes|/sports/competitor_country_relationship/sports: 0.480, /geography/geographical_feature/category: 0.467
    gold:
  • which countries are part of the united kingdom?
    in: lat/political unit/WordnetLAT, lat/location/WordnetLAT, lat/district/WordnetLAT, lat/country/ImplicitQLAT, lat/administrative district/WordnetLAT, lat/people/WordnetLAT, lat/countries/LAT, lat/geographical area/WordnetLAT, lat/region/WordnetLAT, lat/unit/WordnetLAT, lat/organization/WordnetLAT, lat/group/WordnetLAT, lat/social group/WordnetLAT
    out: /aviation/airline/airports_served|/aviation/airline_airport_presence/cities_served, /geography/river/basin_countries, /government/governmental_jurisdiction/governing_officials|/government/government_position_held/district_represented, /government/political_appointer/appointees|/government/government_position_held/jurisdiction_of_office, /government/politician/government_positions_held|/government/government_position_held/jurisdiction_of_office, /language/human_language/countries_spoken_in, /language/human_language/main_country, /location/administrative_division/country, /location/administrative_division/second_level_division_of, /location/country/administrative_divisions, /location/country/first_level_divisions, /location/location/adjoin_s|/location/adjoining_relationship/adjoins, /location/location/contains, /location/location/contains_major_portion_of, /location/location/partially_contained_by|/location/partial_containment_relationship/partially_contained_by, /location/location/partially_containedby, /location/location/partially_contains, /location/location/partiallycontains|/location/partial_containment_relationship/partially_contains, /location/location/street_address|/location/mailing_address/country, /location/location/street_address|/location/mailing_address/state_province_region, /location/statistical_region/places_exported_to|/location/imports_and_exports/exported_to, /location/statistical_region/places_imported_from|/location/imports_and_exports/imported_from, /military/military_combatant/casualties|/military/casualties/combatant, /military/military_combatant/force_deployments|/military/force_strength/combatant, /military/military_combatant/includes_allies, /military/military_combatant/military_conflicts|/military/military_combatant_group/combatants, /military/military_commander/military_commands|/military/military_command/military_combatant, /organization/membership_organization/members|/organization/organization_membership/member, /organization/organization/founders, /organization/organization/headquarters|/location/mailing_address/country, /organization/organization_member/member_of|/organization/organization_membership/organization, /people/person/nationality, /royalty/monarch/kingdom, /royalty/noble_person/titles|/royalty/noble_title_tenure/noble_title, /time/time_zone/locations_in_this_time_zone, /travel/tourist_attraction/near_travel_destination, /travel/transport_terminus/travel_destinations_served|/travel/transportation/travel_destination
    outp: /location/location/adjoin_s|/location/adjoining_relationship/adjoins: 0.940, /location/statistical_region/places_exported_to|/location/imports_and_exports/exported_to: 0.923, /location/location/contains_major_portion_of: 0.913, /location/statistical_region/places_imported_from|/location/imports_and_exports/imported_from: 0.911, /organization/membership_organization/members|/organization/organization_membership/member: 0.907
    gold: /location/location/containedby
  • 
    
    In [10]:
    from sklearn.linear_model import LogisticRegression
    cfier_log = OneVsRestClassifier(LogisticRegression(), n_jobs=4)
    pprint(cfier_log.fit(vtrain.X, vtrain.Y))
    demo_model(cfier_log)
    
    
    
    
    OneVsRestClassifier(estimator=LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
              intercept_scaling=1, max_iter=100, multi_class='ovr',
              penalty='l2', random_state=None, solver='liblinear', tol=0.0001,
              verbose=0),
              n_jobs=4)
    
    datasetqRecallAnyqRecallAllpPrecpScoreMRR
    train0.4680.3760.8320.771
    val0.3750.2970.6570.580
    devtest0.4020.3490.7690.629
  • what is the name of justin bieber brother?
    in: lat/associate/WordnetLAT, lat/relative/WordnetLAT, lat/peer/WordnetLAT, lat/member/WordnetLAT, lat/religious/WordnetLAT, lat/monk/WordnetLAT, lat/person/WordnetLAT, lat/friend/WordnetLAT, lat/kinsman/WordnetLAT, lat/brother/LAT, lat/religious person/WordnetLAT, lat/male sibling/WordnetLAT
    out: /people/person/sibling_s|/people/sibling_relationship/sibling
    outp: /people/person/sibling_s|/people/sibling_relationship/sibling: 0.622, /fictional_universe/fictional_character/siblings|/fictional_universe/sibling_relationship_of_fictional_characters/siblings: 0.160, /fictional_universe/fictional_character/romantically_involved_with|/fictional_universe/romantic_involvement/partner: 0.102, /people/person/spouse_s|/people/marriage/spouse: 0.026, /people/person/profession: 0.022
    gold: /people/person/sibling_s|/people/sibling_relationship/sibling
  • where to fly into bali?
    in: sv=fly, lat/location/QuestionWordLAT
    out:
    outp: /location/location/containedby: 0.122, /people/person/places_lived|/people/place_lived/location: 0.066, /organization/organization/headquarters|/location/mailing_address/citytown: 0.062, /people/person/place_of_birth: 0.062, /type/object/name: 0.040
    gold:
  • what is cher's son's name?
    in: lat/person/WordnetLAT, lat/male/WordnetLAT, lat/relative/WordnetLAT, lat/God/WordnetLAT, lat/cognition/WordnetLAT, lat/child/WordnetLAT, lat/male offspring/WordnetLAT, lat/content/WordnetLAT, lat/belief/WordnetLAT, lat/offspring/WordnetLAT, lat/son/LAT, lat/Godhead/WordnetLAT, lat/spiritual being/WordnetLAT, lat/hypostasis/WordnetLAT
    out: /people/person/children
    outp: /people/person/children: 0.528, /people/person/sibling_s|/people/sibling_relationship/sibling: 0.255, /people/person/spouse_s|/people/marriage/spouse: 0.019, /people/person/parents: 0.014, /book/book_subject/works: 0.013
    gold: /people/person/children
  • what countries do people speak portuguese?
    in: lat/political unit/WordnetLAT, lat/country/ImplicitQLAT, lat/administrative district/WordnetLAT, lat/unit/WordnetLAT, lat/people/WordnetLAT, lat/organization/WordnetLAT, lat/group/WordnetLAT, lat/social group/WordnetLAT, lat/district/WordnetLAT, lat/region/WordnetLAT, lat/location/WordnetLAT, sv=speak, lat/geographical area/WordnetLAT, lat/countries/LAT
    out:
    outp: /language/human_language/countries_spoken_in: 0.480, /language/human_language/main_country: 0.454, /location/location/adjoin_s|/location/adjoining_relationship/adjoins: 0.121, /location/location/contains: 0.095, /location/statistical_region/places_exported_to|/location/imports_and_exports/exported_to: 0.082
    gold: /language/human_language/countries_spoken_in, /language/human_language/main_country
  • who was vincent van gogh inspired by?
    in: sv=inspired
    out:
    outp: /influence/influence_node/influenced_by: 0.223, /people/person/profession: 0.049, /common/topic/notable_for: 0.038, /people/person/spouse_s|/people/marriage/spouse: 0.029, /travel/travel_destination/tourist_attractions: 0.029
    gold: /influence/influence_node/influenced_by
  • when will oscar pistorius compete?
    in: sv=compete, lat/time/QuestionWordLAT, lat/date/QuestionWordLAT
    out:
    outp: /sports/sports_team/championships: 0.079, /time/recurring_event/current_frequency: 0.037, /government/us_president/vice_president: 0.028, /olympics/olympic_athlete/country|/olympics/olympic_athlete_affiliation/sport: 0.026, /sports/pro_athlete/sports_played_professionally|/sports/pro_sports_played/sport: 0.026
    gold:
  • who plays meg in family guy?
    in: lat/person/QuestionWordLAT, sv=plays
    out:
    outp: /tv/tv_character/appeared_in_tv_program|/tv/regular_tv_appearance/actor: 0.469, /film/film_character/portrayed_in_films|/film/performance/actor: 0.399, /tv/tv_character/appeared_in_tv_episodes|/tv/tv_guest_role/actor: 0.125, /film/film/starring|/film/performance/actor: 0.082, /fictional_universe/fictional_character/character_created_by: 0.062
    gold: /cvg/game_character/games|/cvg/game_performance/voice_actor, /film/film_character/portrayed_in_films|/film/performance/actor, /tv/tv_character/appeared_in_tv_episodes|/tv/tv_guest_role/actor, /tv/tv_character/appeared_in_tv_program|/tv/regular_tv_appearance/actor
  • what stadium did the chicago cardinals play in?
    in: sv=play, lat/artifact/WordnetLAT, lat/stadium/LAT, lat/structure/WordnetLAT
    out: /sports/sports_team/arena_stadium, /sports/sports_team/venue|/sports/team_venue_relationship/venue
    outp: /sports/sports_team/arena_stadium: 0.751, /sports/sports_team/venue|/sports/team_venue_relationship/venue: 0.742, /sports/pro_athlete/teams|/sports/sports_team_roster/team: 0.122, /film/actor/film|/film/performance/character: 0.057, /film/actor/film|/film/performance/film: 0.037
    gold: /sports/sports_team/arena_stadium, /sports/sports_team/venue|/sports/team_venue_relationship/venue
  • who was the apostle paul considered to be?
    in: lat/position/WordnetLAT, lat/attitude/WordnetLAT, sv=considered, lat/cognition/WordnetLAT, lat/orientation/WordnetLAT
    out:
    outp: /common/topic/notable_for: 0.049, /travel/travel_destination/tourist_attractions: 0.044, /people/person/profession: 0.030, /location/location/contains: 0.020, /common/topic/alias: 0.015
    gold:
  • which countries are part of the united kingdom?
    in: lat/political unit/WordnetLAT, lat/location/WordnetLAT, lat/administrative district/WordnetLAT, lat/district/WordnetLAT, lat/people/WordnetLAT, lat/countries/LAT, lat/geographical area/WordnetLAT, lat/region/WordnetLAT, lat/unit/WordnetLAT, lat/organization/WordnetLAT, lat/group/WordnetLAT, lat/social group/WordnetLAT, lat/country/ImplicitQLAT
    out:
    outp: /location/location/adjoin_s|/location/adjoining_relationship/adjoins: 0.238, /location/location/contains: 0.232, /location/statistical_region/places_exported_to|/location/imports_and_exports/exported_to: 0.140, /language/human_language/countries_spoken_in: 0.093, /location/location/partiallycontains|/location/partial_containment_relationship/partially_contains: 0.079
    gold: /location/location/containedby
  • 
    
    In [23]:
    from sklearn.linear_model import LogisticRegression
    cfier_logl1 = OneVsRestClassifier(LogisticRegression(penalty='l1'), n_jobs=4)
    pprint(cfier_logl1.fit(vtrain.X, vtrain.Y))
    demo_model(cfier_logl1)
    
    
    
    
    OneVsRestClassifier(estimator=LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
              intercept_scaling=1, max_iter=100, multi_class='ovr',
              penalty='l1', random_state=None, solver='liblinear', tol=0.0001,
              verbose=0),
              n_jobs=4)
    
    datasetqRecallAnyqRecallAllpPrecpScoreMRR
    train0.4540.3480.7990.679
    val0.4080.3190.6920.575
    devtest0.4550.3650.7780.633
  • what is the name of justin bieber brother?
    in: lat/relative/WordnetLAT, lat/monk/WordnetLAT, lat/associate/WordnetLAT, lat/religious/WordnetLAT, lat/member/WordnetLAT, lat/friend/WordnetLAT, lat/peer/WordnetLAT, lat/religious person/WordnetLAT, lat/kinsman/WordnetLAT, lat/person/WordnetLAT, lat/brother/LAT, lat/male sibling/WordnetLAT
    out: /people/person/sibling_s|/people/sibling_relationship/sibling
    outp: /people/person/sibling_s|/people/sibling_relationship/sibling: 0.500, /fictional_universe/fictional_character/romantically_involved_with|/fictional_universe/romantic_involvement/partner: 0.169, /people/person/profession: 0.023, /type/object/type: 0.021, /common/topic/notable_for: 0.018
    gold: /people/person/sibling_s|/people/sibling_relationship/sibling
  • where to fly into bali?
    in: sv=fly, lat/location/QuestionWordLAT
    out:
    outp: /location/location/containedby: 0.167, /people/person/places_lived|/people/place_lived/location: 0.071, /people/person/place_of_birth: 0.062, /organization/organization/headquarters|/location/mailing_address/citytown: 0.029, /people/deceased_person/place_of_death: 0.028
    gold:
  • what is cher's son's name?
    in: lat/person/WordnetLAT, lat/male/WordnetLAT, lat/relative/WordnetLAT, lat/God/WordnetLAT, lat/cognition/WordnetLAT, lat/child/WordnetLAT, lat/male offspring/WordnetLAT, lat/content/WordnetLAT, lat/belief/WordnetLAT, lat/offspring/WordnetLAT, lat/son/LAT, lat/Godhead/WordnetLAT, lat/spiritual being/WordnetLAT, lat/hypostasis/WordnetLAT
    out: /people/person/children
    outp: /people/person/children: 0.564, /people/person/sibling_s|/people/sibling_relationship/sibling: 0.064, /common/topic/notable_for: 0.018, /symbols/name_source/namesakes: 0.013, /sports/pro_athlete/teams|/sports/sports_team_roster/team: 0.012
    gold: /people/person/children
  • what countries do people speak portuguese?
    in: lat/country/ImplicitQLAT, lat/political unit/WordnetLAT, lat/administrative district/WordnetLAT, lat/unit/WordnetLAT, lat/people/WordnetLAT, lat/organization/WordnetLAT, lat/group/WordnetLAT, lat/social group/WordnetLAT, lat/district/WordnetLAT, lat/region/WordnetLAT, lat/location/WordnetLAT, sv=speak, lat/geographical area/WordnetLAT, lat/countries/LAT
    out: /language/human_language/countries_spoken_in, /language/human_language/main_country
    outp: /language/human_language/countries_spoken_in: 0.593, /language/human_language/main_country: 0.568, /location/location/adjoin_s|/location/adjoining_relationship/adjoins: 0.148, /location/statistical_region/places_exported_to|/location/imports_and_exports/exported_to: 0.114, /location/location/contains: 0.106
    gold: /language/human_language/countries_spoken_in, /language/human_language/main_country
  • who was vincent van gogh inspired by?
    in: sv=inspired
    out: /influence/influence_node/influenced_by
    outp: /influence/influence_node/influenced_by: 0.500, /influence/influence_node/influenced: 0.167, /people/person/profession: 0.056, /common/topic/notable_for: 0.029, /location/location/contains: 0.017
    gold: /influence/influence_node/influenced_by
  • when will oscar pistorius compete?
    in: sv=compete, lat/time/QuestionWordLAT, lat/date/QuestionWordLAT
    out:
    outp: /sports/pro_athlete/sports_played_professionally|/sports/pro_sports_played/sport: 0.051, /olympics/olympic_athlete/country|/olympics/olympic_athlete_affiliation/sport: 0.051, /sports/sports_team/championships: 0.047, /time/recurring_event/current_frequency: 0.033, /government/us_president/vice_president: 0.025
    gold:
  • who plays meg in family guy?
    in: lat/person/QuestionWordLAT, sv=plays
    out: /tv/tv_character/appeared_in_tv_program|/tv/regular_tv_appearance/actor
    outp: /tv/tv_character/appeared_in_tv_program|/tv/regular_tv_appearance/actor: 0.500, /film/film_character/portrayed_in_films|/film/performance/actor: 0.417, /tv/tv_character/appeared_in_tv_episodes|/tv/tv_guest_role/actor: 0.146, /film/film/starring|/film/performance/actor: 0.083, /cvg/game_character/games|/cvg/game_performance/voice_actor: 0.063
    gold: /cvg/game_character/games|/cvg/game_performance/voice_actor, /film/film_character/portrayed_in_films|/film/performance/actor, /tv/tv_character/appeared_in_tv_episodes|/tv/tv_guest_role/actor, /tv/tv_character/appeared_in_tv_program|/tv/regular_tv_appearance/actor
  • what stadium did the chicago cardinals play in?
    in: sv=play, lat/artifact/WordnetLAT, lat/stadium/LAT, lat/structure/WordnetLAT
    out: /sports/sports_team/arena_stadium, /sports/sports_team/venue|/sports/team_venue_relationship/venue
    outp: /sports/sports_team/venue|/sports/team_venue_relationship/venue: 0.989, /sports/sports_team/arena_stadium: 0.988, /film/actor/film|/film/performance/character: 0.081, /sports/pro_athlete/teams|/sports/sports_team_roster/team: 0.053, /film/actor/film|/film/performance/film: 0.024
    gold: /sports/sports_team/arena_stadium, /sports/sports_team/venue|/sports/team_venue_relationship/venue
  • who was the apostle paul considered to be?
    in: lat/position/WordnetLAT, lat/attitude/WordnetLAT, sv=considered, lat/cognition/WordnetLAT, lat/orientation/WordnetLAT
    out:
    outp: /common/topic/notable_for: 0.029, /people/person/profession: 0.025, /location/location/contains: 0.017, /book/book_subject/works: 0.011, /travel/travel_destination/tourist_attractions: 0.010
    gold:
  • which countries are part of the united kingdom?
    in: lat/country/ImplicitQLAT, lat/political unit/WordnetLAT, lat/district/WordnetLAT, lat/administrative district/WordnetLAT, lat/people/WordnetLAT, lat/location/WordnetLAT, lat/countries/LAT, lat/geographical area/WordnetLAT, lat/region/WordnetLAT, lat/unit/WordnetLAT, lat/organization/WordnetLAT, lat/group/WordnetLAT, lat/social group/WordnetLAT
    out:
    outp: /location/location/adjoin_s|/location/adjoining_relationship/adjoins: 0.206, /location/location/contains: 0.195, /location/statistical_region/places_exported_to|/location/imports_and_exports/exported_to: 0.114, /language/human_language/countries_spoken_in: 0.068, /people/person/nationality: 0.064
    gold: /location/location/containedby
  • 
    
    In [224]:
    from sklearn.svm import SVC
    cfier_svcp = OneVsRestClassifier(SVC(kernel='linear', probability=True), n_jobs=4)
    pprint(cfier_svcp.fit(vtrain.X, vtrain.Y))
    demo_model(cfier_svcp)
    
    
    
    
    OneVsRestClassifier(estimator=SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0, degree=3, gamma=0.0,
      kernel='linear', max_iter=-1, probability=True, random_state=None,
      shrinking=True, tol=0.001, verbose=False),
              n_jobs=4)
    
    datasetqRecallAnyqRecallAllpPrecpScoreMRR
    train0.6650.5600.8510.695
    val0.4740.3660.5650.501
    devtest0.5560.4660.6380.592
  • what is the name of justin bieber brother?
    in: lat/friend/WordnetLAT, lat/peer/WordnetLAT, lat/monk/WordnetLAT, lat/person/WordnetLAT, lat/religious/WordnetLAT, lat/religious person/WordnetLAT, lat/member/WordnetLAT, lat/kinsman/WordnetLAT, lat/male sibling/WordnetLAT, lat/brother/LAT, lat/associate/WordnetLAT, lat/relative/WordnetLAT
    out: /people/person/sibling_s|/people/sibling_relationship/sibling
    outp: /people/person/sibling_s|/people/sibling_relationship/sibling: 0.433, /people/person/profession: 0.037, /sports/pro_athlete/teams|/sports/sports_team_roster/team: 0.024, /common/topic/notable_for: 0.023, /location/location/containedby: 0.023
    gold: /people/person/sibling_s|/people/sibling_relationship/sibling
  • where to fly into bali?
    in: sv=fly, lat/location/QuestionWordLAT
    out:
    outp: /people/person/place_of_birth: 0.049, /location/location/containedby: 0.046, /people/person/places_lived|/people/place_lived/location: 0.042, /people/person/profession: 0.040, /people/person/nationality: 0.027
    gold:
  • what is cher's son's name?
    in: lat/relative/WordnetLAT, lat/cognition/WordnetLAT, lat/child/WordnetLAT, lat/male offspring/WordnetLAT, lat/content/WordnetLAT, lat/belief/WordnetLAT, lat/offspring/WordnetLAT, lat/son/LAT, lat/Godhead/WordnetLAT, lat/person/WordnetLAT, lat/spiritual being/WordnetLAT, lat/male/WordnetLAT, lat/hypostasis/WordnetLAT, lat/God/WordnetLAT
    out: /people/person/children
    outp: /people/person/children: 0.514, /location/location/containedby: 0.038, /people/person/profession: 0.033, /film/film_character/portrayed_in_films|/film/performance/actor: 0.017, /location/location/contains: 0.016
    gold: /people/person/children
  • what countries do people speak portuguese?
    in: lat/country/ImplicitQLAT, lat/administrative district/WordnetLAT, lat/unit/WordnetLAT, lat/people/WordnetLAT, lat/organization/WordnetLAT, lat/group/WordnetLAT, lat/social group/WordnetLAT, lat/district/WordnetLAT, lat/region/WordnetLAT, lat/location/WordnetLAT, sv=speak, lat/political unit/WordnetLAT, lat/geographical area/WordnetLAT, lat/countries/LAT
    out: /language/human_language/countries_spoken_in, /language/human_language/main_country
    outp: /language/human_language/countries_spoken_in: 0.914, /language/human_language/main_country: 0.723, /people/person/place_of_birth: 0.042, /people/person/places_lived|/people/place_lived/location: 0.042, /location/location/containedby: 0.036
    gold: /language/human_language/countries_spoken_in, /language/human_language/main_country
  • who was vincent van gogh inspired by?
    in: sv=inspired
    out: /influence/influence_node/influenced_by
    outp: /influence/influence_node/influenced_by: 0.873, /location/location/containedby: 0.030, /location/location/contains: 0.026, /common/topic/notable_for: 0.023, /type/object/type: 0.018
    gold: /influence/influence_node/influenced_by
  • when will oscar pistorius compete?
    in: sv=compete, lat/time/QuestionWordLAT, lat/date/QuestionWordLAT
    out:
    outp: /sports/pro_athlete/sports_played_professionally|/sports/pro_sports_played/sport: 0.268, /sports/sports_team/championships: 0.031, /people/person/nationality: 0.027, /location/location/contains: 0.026, /common/topic/notable_for: 0.025
    gold:
  • who plays meg in family guy?
    in: lat/person/QuestionWordLAT, sv=plays
    out: /tv/tv_character/appeared_in_tv_program|/tv/regular_tv_appearance/actor
    outp: /tv/tv_character/appeared_in_tv_program|/tv/regular_tv_appearance/actor: 0.442, /people/person/profession: 0.040, /location/location/containedby: 0.030, /location/location/contains: 0.026, /common/topic/notable_for: 0.025
    gold: /cvg/game_character/games|/cvg/game_performance/voice_actor, /film/film_character/portrayed_in_films|/film/performance/actor, /tv/tv_character/appeared_in_tv_episodes|/tv/tv_guest_role/actor, /tv/tv_character/appeared_in_tv_program|/tv/regular_tv_appearance/actor
  • what stadium did the chicago cardinals play in?
    in: sv=play, lat/artifact/WordnetLAT, lat/stadium/LAT, lat/structure/WordnetLAT
    out: /sports/sports_team/arena_stadium, /sports/sports_team/venue|/sports/team_venue_relationship/venue
    outp: /sports/sports_team/venue|/sports/team_venue_relationship/venue: 1.000, /sports/sports_team/arena_stadium: 0.921, /sports/pro_athlete/teams|/sports/sports_team_roster/team: 0.061, /film/actor/film|/film/performance/character: 0.038, /location/location/contains: 0.023
    gold: /sports/sports_team/arena_stadium, /sports/sports_team/venue|/sports/team_venue_relationship/venue
  • who was the apostle paul considered to be?
    in: lat/position/WordnetLAT, lat/attitude/WordnetLAT, sv=considered, lat/cognition/WordnetLAT, lat/orientation/WordnetLAT
    out:
    outp: /location/location/containedby: 0.033, /people/person/profession: 0.024, /location/location/contains: 0.022, /common/topic/notable_for: 0.019, /travel/travel_destination/tourist_attractions: 0.018
    gold:
  • which countries are part of the united kingdom?
    in: lat/political unit/WordnetLAT, lat/people/WordnetLAT, lat/countries/LAT, lat/geographical area/WordnetLAT, lat/region/WordnetLAT, lat/unit/WordnetLAT, lat/organization/WordnetLAT, lat/group/WordnetLAT, lat/social group/WordnetLAT, lat/district/WordnetLAT, lat/administrative district/WordnetLAT, lat/country/ImplicitQLAT, lat/location/WordnetLAT
    out:
    outp: /location/location/containedby: 0.046, /people/person/place_of_birth: 0.042, /people/person/places_lived|/people/place_lived/location: 0.042, /location/location/contains: 0.031, /people/person/nationality: 0.027
    gold: /location/location/containedby
  • 
    
    In [225]:
    from sklearn.svm import SVC
    cfier_svcrp = OneVsRestClassifier(SVC(kernel='rbf', probability=True), n_jobs=4)
    pprint(cfier_svcrp.fit(vtrain.X, vtrain.Y))
    demo_model(cfier_svcrp)
    
    
    
    
    OneVsRestClassifier(estimator=SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0, degree=3, gamma=0.0,
      kernel='rbf', max_iter=-1, probability=True, random_state=None,
      shrinking=True, tol=0.001, verbose=False),
              n_jobs=4)
    
    -c:15: RuntimeWarning: invalid value encountered in divide
    
    datasetqRecallAnyqRecallAllpPrecpScoreMRR
    train0.0900.090nan0.559
    val0.1350.135nan0.420
    devtest0.1320.132nan0.501
  • what is the name of justin bieber brother?
    in: lat/monk/WordnetLAT, lat/brother/LAT, lat/male sibling/WordnetLAT, lat/kinsman/WordnetLAT, lat/friend/WordnetLAT, lat/member/WordnetLAT, lat/religious person/WordnetLAT, lat/peer/WordnetLAT, lat/religious/WordnetLAT, lat/associate/WordnetLAT, lat/person/WordnetLAT, lat/relative/WordnetLAT
    out:
    outp: /people/person/sibling_s|/people/sibling_relationship/sibling: 0.045, /people/person/profession: 0.037, /location/location/containedby: 0.035, /organization/organization/headquarters|/location/mailing_address/citytown: 0.029, /location/location/contains: 0.028
    gold: /people/person/sibling_s|/people/sibling_relationship/sibling
  • where to fly into bali?
    in: lat/location/QuestionWordLAT, sv=fly
    out:
    outp: /organization/organization/headquarters|/location/mailing_address/citytown: 0.301, /people/person/places_lived|/people/place_lived/location: 0.046, /people/deceased_person/place_of_death: 0.045, /people/person/nationality: 0.040, /location/location/containedby: 0.039
    gold:
  • what is cher's son's name?
    in: lat/hypostasis/WordnetLAT, lat/son/LAT, lat/male/WordnetLAT, lat/cognition/WordnetLAT, lat/child/WordnetLAT, lat/male offspring/WordnetLAT, lat/content/WordnetLAT, lat/person/WordnetLAT, lat/belief/WordnetLAT, lat/offspring/WordnetLAT, lat/spiritual being/WordnetLAT, lat/Godhead/WordnetLAT, lat/relative/WordnetLAT, lat/God/WordnetLAT
    out:
    outp: /people/person/children: 0.240, /location/location/containedby: 0.035, /people/person/profession: 0.033, /organization/organization/headquarters|/location/mailing_address/citytown: 0.030, /location/location/contains: 0.027
    gold: /people/person/children
  • what countries do people speak portuguese?
    in: lat/geographical area/WordnetLAT, lat/country/ImplicitQLAT, lat/administrative district/WordnetLAT, lat/unit/WordnetLAT, lat/people/WordnetLAT, lat/political unit/WordnetLAT, lat/organization/WordnetLAT, lat/group/WordnetLAT, lat/social group/WordnetLAT, lat/district/WordnetLAT, lat/region/WordnetLAT, lat/location/WordnetLAT, sv=speak, lat/countries/LAT
    out:
    outp: /language/human_language/main_country: 0.666, /language/human_language/countries_spoken_in: 0.641, /location/location/containedby: 0.035, /people/person/profession: 0.033, /people/person/places_lived|/people/place_lived/location: 0.031
    gold: /language/human_language/countries_spoken_in, /language/human_language/main_country
  • who was vincent van gogh inspired by?
    in: sv=inspired
    out:
    outp: /influence/influence_node/influenced_by: 0.104, /location/location/containedby: 0.043, /people/person/profession: 0.035, /organization/organization/headquarters|/location/mailing_address/citytown: 0.029, /location/location/contains: 0.029
    gold: /influence/influence_node/influenced_by
  • when will oscar pistorius compete?
    in: sv=compete, lat/time/QuestionWordLAT, lat/date/QuestionWordLAT
    out:
    outp: /sports/pro_athlete/sports_played_professionally|/sports/pro_sports_played/sport: 0.454, /olympics/olympic_athlete/country|/olympics/olympic_athlete_affiliation/sport: 0.215, /people/person/profession: 0.036, /location/location/containedby: 0.035, /organization/organization/headquarters|/location/mailing_address/citytown: 0.029
    gold:
  • who plays meg in family guy?
    in: lat/person/QuestionWordLAT, sv=plays
    out:
    outp: /location/location/containedby: 0.043, /people/person/profession: 0.038, /tv/tv_character/appeared_in_tv_program|/tv/regular_tv_appearance/actor: 0.033, /organization/organization/headquarters|/location/mailing_address/citytown: 0.029, /location/location/contains: 0.029
    gold: /cvg/game_character/games|/cvg/game_performance/voice_actor, /film/film_character/portrayed_in_films|/film/performance/actor, /tv/tv_character/appeared_in_tv_episodes|/tv/tv_guest_role/actor, /tv/tv_character/appeared_in_tv_program|/tv/regular_tv_appearance/actor
  • what stadium did the chicago cardinals play in?
    in: sv=play, lat/artifact/WordnetLAT, lat/stadium/LAT, lat/structure/WordnetLAT
    out:
    outp: /sports/sports_team/venue|/sports/team_venue_relationship/venue: 0.966, /sports/sports_team/arena_stadium: 0.728, /people/person/education|/education/education/institution: 0.087, /soccer/football_player/matches_played|/soccer/football_player_match_participation/team: 0.043, /people/person/profession: 0.034
    gold: /sports/sports_team/arena_stadium, /sports/sports_team/venue|/sports/team_venue_relationship/venue
  • who was the apostle paul considered to be?
    in: lat/position/WordnetLAT, lat/attitude/WordnetLAT, sv=considered, lat/cognition/WordnetLAT, lat/orientation/WordnetLAT
    out:
    outp: /travel/travel_destination/tourist_attractions: 0.069, /location/location/containedby: 0.038, /people/person/profession: 0.032, /organization/organization/headquarters|/location/mailing_address/citytown: 0.029, /location/location/contains: 0.026
    gold:
  • which countries are part of the united kingdom?
    in: lat/country/ImplicitQLAT, lat/political unit/WordnetLAT, lat/people/WordnetLAT, lat/countries/LAT, lat/geographical area/WordnetLAT, lat/region/WordnetLAT, lat/unit/WordnetLAT, lat/location/WordnetLAT, lat/organization/WordnetLAT, lat/group/WordnetLAT, lat/social group/WordnetLAT, lat/district/WordnetLAT, lat/administrative district/WordnetLAT
    out:
    outp: /location/location/containedby: 0.041, /language/human_language/main_country: 0.035, /people/person/profession: 0.034, /people/person/places_lived|/people/place_lived/location: 0.031, /people/person/place_of_birth: 0.031
    gold: /location/location/containedby
  • 
    
    In [226]:
    from sklearn.svm import SVC
    cfier_svcpp = OneVsRestClassifier(SVC(kernel='poly', probability=True), n_jobs=4)
    pprint(cfier_svcpp.fit(vtrain.X, vtrain.Y))
    demo_model(cfier_svcpp)
    
    
    
    
    OneVsRestClassifier(estimator=SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0, degree=3, gamma=0.0,
      kernel='poly', max_iter=-1, probability=True, random_state=None,
      shrinking=True, tol=0.001, verbose=False),
              n_jobs=4)
    
    datasetqRecallAnyqRecallAllpPrecpScoreMRR
    train0.0900.090nan0.050
    val0.1350.135nan0.042
    devtest0.1320.132nan0.049
  • what is the name of justin bieber brother?
    in: lat/religious/WordnetLAT, lat/peer/WordnetLAT, lat/relative/WordnetLAT, lat/person/WordnetLAT, lat/member/WordnetLAT, lat/religious person/WordnetLAT, lat/friend/WordnetLAT, lat/associate/WordnetLAT, lat/male sibling/WordnetLAT, lat/kinsman/WordnetLAT, lat/brother/LAT, lat/monk/WordnetLAT
    out:
    outp: /award/award_winner/awards_won|/award/award_honor/award: 1.000, /award/award_winner/awards_won|/award/award_honor/honored_for: 1.000, /basketball/basketball_player/player_statistics|/basketball/basketball_player_stats/season: 1.000, /film/actor/film|/film/performance/film: 1.000, /government/political_district/representatives|/government/government_position_held/office_holder: 1.000
    gold: /people/person/sibling_s|/people/sibling_relationship/sibling
  • where to fly into bali?
    in: sv=fly, lat/location/QuestionWordLAT
    out:
    outp: /award/award_winner/awards_won|/award/award_honor/award: 1.000, /award/award_winner/awards_won|/award/award_honor/honored_for: 1.000, /basketball/basketball_player/player_statistics|/basketball/basketball_player_stats/season: 1.000, /film/actor/film|/film/performance/film: 1.000, /government/political_district/representatives|/government/government_position_held/office_holder: 1.000
    gold:
  • what is cher's son's name?
    in: lat/belief/WordnetLAT, lat/God/WordnetLAT, lat/relative/WordnetLAT, lat/content/WordnetLAT, lat/male offspring/WordnetLAT, lat/person/WordnetLAT, lat/male/WordnetLAT, lat/offspring/WordnetLAT, lat/cognition/WordnetLAT, lat/child/WordnetLAT, lat/Godhead/WordnetLAT, lat/spiritual being/WordnetLAT, lat/hypostasis/WordnetLAT, lat/son/LAT
    out:
    outp: /award/award_winner/awards_won|/award/award_honor/award: 1.000, /award/award_winner/awards_won|/award/award_honor/honored_for: 1.000, /basketball/basketball_player/player_statistics|/basketball/basketball_player_stats/season: 1.000, /film/actor/film|/film/performance/film: 1.000, /government/political_district/representatives|/government/government_position_held/office_holder: 1.000
    gold: /people/person/children
  • what countries do people speak portuguese?
    in: lat/district/WordnetLAT, lat/country/ImplicitQLAT, lat/administrative district/WordnetLAT, lat/political unit/WordnetLAT, lat/unit/WordnetLAT, lat/social group/WordnetLAT, lat/organization/WordnetLAT, lat/group/WordnetLAT, lat/people/WordnetLAT, lat/region/WordnetLAT, lat/location/WordnetLAT, lat/countries/LAT, lat/geographical area/WordnetLAT, sv=speak
    out:
    outp: /award/award_winner/awards_won|/award/award_honor/award: 1.000, /award/award_winner/awards_won|/award/award_honor/honored_for: 1.000, /basketball/basketball_player/player_statistics|/basketball/basketball_player_stats/season: 1.000, /film/actor/film|/film/performance/film: 1.000, /government/political_district/representatives|/government/government_position_held/office_holder: 1.000
    gold: /language/human_language/countries_spoken_in, /language/human_language/main_country
  • who was vincent van gogh inspired by?
    in: sv=inspired
    out:
    outp: /award/award_winner/awards_won|/award/award_honor/award: 1.000, /award/award_winner/awards_won|/award/award_honor/honored_for: 1.000, /basketball/basketball_player/player_statistics|/basketball/basketball_player_stats/season: 1.000, /film/actor/film|/film/performance/film: 1.000, /government/political_district/representatives|/government/government_position_held/office_holder: 1.000
    gold: /influence/influence_node/influenced_by
  • when will oscar pistorius compete?
    in: lat/date/QuestionWordLAT, lat/time/QuestionWordLAT, sv=compete
    out:
    outp: /award/award_winner/awards_won|/award/award_honor/award: 1.000, /award/award_winner/awards_won|/award/award_honor/honored_for: 1.000, /basketball/basketball_player/player_statistics|/basketball/basketball_player_stats/season: 1.000, /film/actor/film|/film/performance/film: 1.000, /government/political_district/representatives|/government/government_position_held/office_holder: 1.000
    gold:
  • who plays meg in family guy?
    in: sv=plays, lat/person/QuestionWordLAT
    out:
    outp: /award/award_winner/awards_won|/award/award_honor/award: 1.000, /award/award_winner/awards_won|/award/award_honor/honored_for: 1.000, /basketball/basketball_player/player_statistics|/basketball/basketball_player_stats/season: 1.000, /film/actor/film|/film/performance/film: 1.000, /government/political_district/representatives|/government/government_position_held/office_holder: 1.000
    gold: /cvg/game_character/games|/cvg/game_performance/voice_actor, /film/film_character/portrayed_in_films|/film/performance/actor, /tv/tv_character/appeared_in_tv_episodes|/tv/tv_guest_role/actor, /tv/tv_character/appeared_in_tv_program|/tv/regular_tv_appearance/actor
  • what stadium did the chicago cardinals play in?
    in: sv=play, lat/stadium/LAT, lat/artifact/WordnetLAT, lat/structure/WordnetLAT
    out:
    outp: /award/award_winner/awards_won|/award/award_honor/award: 1.000, /award/award_winner/awards_won|/award/award_honor/honored_for: 1.000, /basketball/basketball_player/player_statistics|/basketball/basketball_player_stats/season: 1.000, /film/actor/film|/film/performance/film: 1.000, /government/political_district/representatives|/government/government_position_held/office_holder: 1.000
    gold: /sports/sports_team/arena_stadium, /sports/sports_team/venue|/sports/team_venue_relationship/venue
  • who was the apostle paul considered to be?
    in: lat/position/WordnetLAT, lat/cognition/WordnetLAT, lat/orientation/WordnetLAT, sv=considered, lat/attitude/WordnetLAT
    out:
    outp: /award/award_winner/awards_won|/award/award_honor/award: 1.000, /award/award_winner/awards_won|/award/award_honor/honored_for: 1.000, /basketball/basketball_player/player_statistics|/basketball/basketball_player_stats/season: 1.000, /film/actor/film|/film/performance/film: 1.000, /government/political_district/representatives|/government/government_position_held/office_holder: 1.000
    gold:
  • which countries are part of the united kingdom?
    in: lat/people/WordnetLAT, lat/countries/LAT, lat/region/WordnetLAT, lat/social group/WordnetLAT, lat/unit/WordnetLAT, lat/organization/WordnetLAT, lat/district/WordnetLAT, lat/location/WordnetLAT, lat/group/WordnetLAT, lat/geographical area/WordnetLAT, lat/country/ImplicitQLAT, lat/political unit/WordnetLAT, lat/administrative district/WordnetLAT
    out:
    outp: /award/award_winner/awards_won|/award/award_honor/award: 1.000, /award/award_winner/awards_won|/award/award_honor/honored_for: 1.000, /basketball/basketball_player/player_statistics|/basketball/basketball_player_stats/season: 1.000, /film/actor/film|/film/performance/film: 1.000, /government/political_district/representatives|/government/government_position_held/office_holder: 1.000
    gold: /location/location/containedby
  • Confidence Score Models

    
    
    In [251]:
    def check_q_cs(cfier, v, d, i):
        cs = cfier.decision_function(v.X[i])[0]
        top_cs = sorted(enumerate(cs), key=lambda k: k[1], reverse=True)
        top_lcs = ['<span style="color: %s">%s: %.2f</span>' % ('blue' if k[1] > 0 else 'red', v.Ydict.classes_[k[0]], k[1]) for k in top_cs[:5]]
        return '<li><b>%s</b><br><b>in:</b> %s<br><b>out:</b> %s<br><b>outp:</b> %s<br><b>gold:</b> %s</li>' % (
            d[i]['qText'],
            ', '.join(sorted(v.Xdict.inverse_transform(v.X[i])[0].keys(), key=lambda s: reversed(s))),
            ', '.join(v.Ydict.inverse_transform(cfier.predict(v.X[i]))[0]),
            ', '.join(top_lcs),
            ', '.join(v.Ydict.inverse_transform(np.array([v.Y[i]]))[0]))
    
    def demo_model_cs(cfier):
        stable = score_table(cfier, lambda cfier, X: cfier.decision_function(X))
        display(HTML('<table>'+stable+'</table>'))
        display(HTML('<ul>'))
        for i in range(10):
            display(HTML(check_q_cs(cfier, vdevtest, devtest, i)))
        display(HTML('</ul>'))
    
    
    
    In [230]:
    from sklearn.multiclass import OneVsRestClassifier
    from sklearn.svm import SVC
    cfier_svc = OneVsRestClassifier(SVC(kernel='linear'), n_jobs=4)
    cfier_svc.fit(vtrain.X, vtrain.Y)
    
    
    
    
    Out[230]:
    OneVsRestClassifier(estimator=SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0, degree=3, gamma=0.0,
      kernel='linear', max_iter=-1, probability=False, random_state=None,
      shrinking=True, tol=0.001, verbose=False),
              n_jobs=4)
    
    
    In [121]:
    [x for x in cfier_svc.decision_function(vdevtest.X[0])[0] if x > 0]
    
    
    
    
    Out[121]:
    [0.99987006672029644]
    
    
    In [233]:
    demo_model_cs(cfier_svc)
    
    
    
    
    datasetqRecallAnyqRecallAllpPrecpScoreMRR
    train0.6650.5600.8510.722
    val0.4740.3660.5650.473
    devtest0.5560.4660.6380.542
  • what is the name of justin bieber brother?
    in: lat/associate/WordnetLAT, lat/brother/LAT, lat/religious/WordnetLAT, lat/kinsman/WordnetLAT, lat/monk/WordnetLAT, lat/male sibling/WordnetLAT, lat/friend/WordnetLAT, lat/member/WordnetLAT, lat/relative/WordnetLAT, lat/peer/WordnetLAT, lat/religious person/WordnetLAT, lat/person/WordnetLAT
    out: /people/person/sibling_s|/people/sibling_relationship/sibling
    outp: /people/person/sibling_s|/people/sibling_relationship/sibling: 1.00, /people/deceased_person/place_of_burial: -1.00, /time/holiday/day_of_year: -1.00, /tv/tv_character/appeared_in_tv_episodes|/tv/tv_guest_role/actor: -1.00, /award/award_nominated_work/award_nominations|/award/award_nomination/award_nominee: -1.00
    gold: /people/person/sibling_s|/people/sibling_relationship/sibling
  • where to fly into bali?
    in: sv=fly, lat/location/QuestionWordLAT
    out:
    outp: /people/deceased_person/place_of_burial: -1.00, /time/holiday/day_of_year: -1.00, /business/employer/employees|/business/employment_tenure/title: -1.00, /travel/tourist_attraction/near_travel_destination: -1.00, /geography/river/basin_countries: -1.00
    gold:
  • what is cher's son's name?
    in: lat/child/WordnetLAT, lat/content/WordnetLAT, lat/belief/WordnetLAT, lat/offspring/WordnetLAT, lat/cognition/WordnetLAT, lat/Godhead/WordnetLAT, lat/son/LAT, lat/spiritual being/WordnetLAT, lat/male offspring/WordnetLAT, lat/God/WordnetLAT, lat/person/WordnetLAT, lat/male/WordnetLAT, lat/relative/WordnetLAT, lat/hypostasis/WordnetLAT
    out: /people/person/children
    outp: /people/person/children: 0.60, /people/person/sibling_s|/people/sibling_relationship/sibling: -1.00, /people/deceased_person/place_of_burial: -1.00, /time/holiday/day_of_year: -1.00, /tv/tv_character/appeared_in_tv_episodes|/tv/tv_guest_role/actor: -1.00
    gold: /people/person/children
  • what countries do people speak portuguese?
    in: lat/country/ImplicitQLAT, lat/administrative district/WordnetLAT, lat/unit/WordnetLAT, lat/social group/WordnetLAT, lat/organization/WordnetLAT, lat/group/WordnetLAT, lat/district/WordnetLAT, lat/people/WordnetLAT, lat/political unit/WordnetLAT, lat/region/WordnetLAT, lat/location/WordnetLAT, sv=speak, lat/geographical area/WordnetLAT, lat/countries/LAT
    out: /language/human_language/countries_spoken_in, /language/human_language/main_country
    outp: /language/human_language/main_country: 0.81, /language/human_language/countries_spoken_in: 0.63, /people/deceased_person/place_of_burial: -1.00, /time/holiday/day_of_year: -1.00, /tv/tv_character/appeared_in_tv_episodes|/tv/tv_guest_role/actor: -1.00
    gold: /language/human_language/countries_spoken_in, /language/human_language/main_country
  • who was vincent van gogh inspired by?
    in: sv=inspired
    out: /influence/influence_node/influenced_by
    outp: /influence/influence_node/influenced_by: 1.00, /people/deceased_person/place_of_burial: -1.00, /time/holiday/day_of_year: -1.00, /tv/tv_character/appeared_in_tv_episodes|/tv/tv_guest_role/actor: -1.00, /award/award_nominated_work/award_nominations|/award/award_nomination/award_nominee: -1.00
    gold: /influence/influence_node/influenced_by
  • when will oscar pistorius compete?
    in: sv=compete, lat/time/QuestionWordLAT, lat/date/QuestionWordLAT
    out:
    outp: /olympics/olympic_athlete/country|/olympics/olympic_athlete_affiliation/sport: -0.09, /sports/pro_athlete/sports_played_professionally|/sports/pro_sports_played/sport: -0.09, /olympics/olympic_athlete/medals_won|/olympics/olympic_medal_honor/event: -0.89, /time/holiday/day_of_year: -1.00, /people/deceased_person/place_of_burial: -1.00
    gold:
  • who plays meg in family guy?
    in: sv=plays, lat/person/QuestionWordLAT
    out: /tv/tv_character/appeared_in_tv_program|/tv/regular_tv_appearance/actor
    outp: /tv/tv_character/appeared_in_tv_program|/tv/regular_tv_appearance/actor: 1.00, /people/deceased_person/place_of_burial: -1.00, /time/holiday/day_of_year: -1.00, /tv/tv_character/appeared_in_tv_episodes|/tv/tv_guest_role/actor: -1.00, /award/award_nominated_work/award_nominations|/award/award_nomination/award_nominee: -1.00
    gold: /cvg/game_character/games|/cvg/game_performance/voice_actor, /film/film_character/portrayed_in_films|/film/performance/actor, /tv/tv_character/appeared_in_tv_episodes|/tv/tv_guest_role/actor, /tv/tv_character/appeared_in_tv_program|/tv/regular_tv_appearance/actor
  • what stadium did the chicago cardinals play in?
    in: sv=play, lat/stadium/LAT, lat/artifact/WordnetLAT, lat/structure/WordnetLAT
    out: /sports/sports_team/arena_stadium, /sports/sports_team/venue|/sports/team_venue_relationship/venue
    outp: /sports/sports_team/arena_stadium: 1.55, /sports/sports_team/venue|/sports/team_venue_relationship/venue: 1.00, /sports/pro_athlete/teams|/sports/sports_team_roster/team: -0.65, /film/actor/film|/film/performance/character: -0.68, /music/guitarist/guitars_played: -0.82
    gold: /sports/sports_team/arena_stadium, /sports/sports_team/venue|/sports/team_venue_relationship/venue
  • who was the apostle paul considered to be?
    in: sv=considered, lat/orientation/WordnetLAT, lat/position/WordnetLAT, lat/attitude/WordnetLAT, lat/cognition/WordnetLAT
    out:
    outp: /common/topic/alias: -0.29, /government/politician/government_positions_held|/government/government_position_held/office_position_or_title: -0.78, /religion/religion/beliefs: -0.88, /olympics/olympic_participating_country/athletes|/olympics/olympic_athlete_affiliation/sport: -0.89, /sports/sport_country/athletes|/sports/competitor_country_relationship/sports: -0.89
    gold:
  • which countries are part of the united kingdom?
    in: lat/people/WordnetLAT, lat/region/WordnetLAT, lat/social group/WordnetLAT, lat/district/WordnetLAT, lat/location/WordnetLAT, lat/countries/LAT, lat/geographical area/WordnetLAT, lat/group/WordnetLAT, lat/political unit/WordnetLAT, lat/administrative district/WordnetLAT, lat/country/ImplicitQLAT, lat/organization/WordnetLAT, lat/unit/WordnetLAT
    out:
    outp: /location/location/contains: -0.94, /people/deceased_person/place_of_burial: -1.00, /time/holiday/day_of_year: -1.00, /tv/tv_character/appeared_in_tv_episodes|/tv/tv_guest_role/actor: -1.00, /travel/tourist_attraction/near_travel_destination: -1.00
    gold: /location/location/containedby
  • 
    
    In [234]:
    from sklearn.multiclass import OneVsRestClassifier
    from sklearn.svm import LinearSVC
    cfier_lsvc = OneVsRestClassifier(LinearSVC(), n_jobs=4)
    cfier_lsvc.fit(vtrain.X, vtrain.Y)
    demo_model_cs(cfier_lsvc)
    
    
    
    
    datasetqRecallAnyqRecallAllpPrecpScoreMRR
    train0.7090.6190.8630.851
    val0.4730.3770.5290.583
    devtest0.5560.4660.5750.636
  • what is the name of justin bieber brother?
    in: lat/religious person/WordnetLAT, lat/person/WordnetLAT, lat/friend/WordnetLAT, lat/associate/WordnetLAT, lat/peer/WordnetLAT, lat/member/WordnetLAT, lat/relative/WordnetLAT, lat/monk/WordnetLAT, lat/brother/LAT, lat/male sibling/WordnetLAT, lat/kinsman/WordnetLAT, lat/religious/WordnetLAT
    out: /people/person/sibling_s|/people/sibling_relationship/sibling
    outp: /people/person/sibling_s|/people/sibling_relationship/sibling: 0.84, /fictional_universe/fictional_character/siblings|/fictional_universe/sibling_relationship_of_fictional_characters/siblings: -0.88, /fictional_universe/fictional_character/romantically_involved_with|/fictional_universe/romantic_involvement/partner: -0.93, /celebrities/celebrity/celebrity_friends|/celebrities/friendship/friend: -0.99, /location/statistical_region/places_exported_to|/location/imports_and_exports/exported_to: -0.99
    gold: /people/person/sibling_s|/people/sibling_relationship/sibling
  • where to fly into bali?
    in: sv=fly, lat/location/QuestionWordLAT
    out:
    outp: /aviation/airline/airports_served|/aviation/airline_airport_presence/airport: -0.45, /type/object/name: -0.46, /visual_art/art_subject/artwork_on_the_subject: -0.52, /organization/organization/headquarters|/location/mailing_address/citytown: -0.62, /travel/travel_destination/how_to_get_here|/travel/transportation/transport_terminus: -0.77
    gold:
  • what is cher's son's name?
    in: lat/God/WordnetLAT, lat/relative/WordnetLAT, lat/cognition/WordnetLAT, lat/person/WordnetLAT, lat/child/WordnetLAT, lat/male offspring/WordnetLAT, lat/content/WordnetLAT, lat/belief/WordnetLAT, lat/offspring/WordnetLAT, lat/Godhead/WordnetLAT, lat/male/WordnetLAT, lat/spiritual being/WordnetLAT, lat/son/LAT, lat/hypostasis/WordnetLAT
    out: /people/person/children
    outp: /people/person/children: 0.05, /people/person/sibling_s|/people/sibling_relationship/sibling: -0.09, /book/book_subject/works: -1.00, /religion/religion/texts: -1.00, /people/person/education|/education/education/institution: -1.00
    gold: /people/person/children
  • what countries do people speak portuguese?
    in: lat/political unit/WordnetLAT, lat/country/ImplicitQLAT, lat/administrative district/WordnetLAT, lat/unit/WordnetLAT, lat/people/WordnetLAT, lat/organization/WordnetLAT, lat/group/WordnetLAT, lat/social group/WordnetLAT, lat/district/WordnetLAT, lat/region/WordnetLAT, lat/location/WordnetLAT, lat/countries/LAT, lat/geographical area/WordnetLAT, sv=speak
    out: /language/human_language/countries_spoken_in, /language/human_language/main_country
    outp: /language/human_language/main_country: 0.37, /language/human_language/countries_spoken_in: 0.36, /location/location/contains: -0.94, /location/location/adjoin_s|/location/adjoining_relationship/adjoins: -0.96, /organization/membership_organization/members|/organization/organization_membership/member: -0.98
    gold: /language/human_language/countries_spoken_in, /language/human_language/main_country
  • who was vincent van gogh inspired by?
    in: sv=inspired
    out: /influence/influence_node/influenced_by
    outp: /influence/influence_node/influenced_by: 0.46, /influence/influence_node/influenced: -0.72, /common/topic/notable_for: -0.98, /influence/influence_node/peers|/influence/peer_relationship/peers: -0.99, /people/person/children: -0.99
    gold: /influence/influence_node/influenced_by
  • when will oscar pistorius compete?
    in: sv=compete, lat/time/QuestionWordLAT, lat/date/QuestionWordLAT
    out:
    outp: /olympics/olympic_athlete/country|/olympics/olympic_athlete_affiliation/sport: -0.41, /sports/pro_athlete/sports_played_professionally|/sports/pro_sports_played/sport: -0.41, /common/topic/notable_for: -0.48, /olympics/olympic_athlete/medals_won|/olympics/olympic_medal_honor/event: -0.58, /people/person/profession: -0.64
    gold:
  • who plays meg in family guy?
    in: lat/person/QuestionWordLAT, sv=plays
    out: /tv/tv_character/appeared_in_tv_program|/tv/regular_tv_appearance/actor
    outp: /tv/tv_character/appeared_in_tv_program|/tv/regular_tv_appearance/actor: 0.03, /film/film_character/portrayed_in_films|/film/performance/actor: -0.13, /tv/tv_character/appeared_in_tv_episodes|/tv/tv_guest_role/actor: -0.67, /film/film/starring|/film/performance/actor: -0.79, /fictional_universe/fictional_character/character_created_by: -0.83
    gold: /cvg/game_character/games|/cvg/game_performance/voice_actor, /film/film_character/portrayed_in_films|/film/performance/actor, /tv/tv_character/appeared_in_tv_episodes|/tv/tv_guest_role/actor, /tv/tv_character/appeared_in_tv_program|/tv/regular_tv_appearance/actor
  • what stadium did the chicago cardinals play in?
    in: sv=play, lat/artifact/WordnetLAT, lat/stadium/LAT, lat/structure/WordnetLAT
    out: /sports/sports_team/arena_stadium, /sports/sports_team/venue|/sports/team_venue_relationship/venue
    outp: /sports/sports_team/arena_stadium: 1.65, /sports/sports_team/venue|/sports/team_venue_relationship/venue: 1.58, /sports/pro_athlete/teams|/sports/sports_team_roster/team: -0.62, /film/actor/film|/film/performance/character: -0.71, /people/person/employment_history|/business/employment_tenure/company: -0.78
    gold: /sports/sports_team/arena_stadium, /sports/sports_team/venue|/sports/team_venue_relationship/venue
  • who was the apostle paul considered to be?
    in: lat/attitude/WordnetLAT, sv=considered, lat/cognition/WordnetLAT, lat/position/WordnetLAT, lat/orientation/WordnetLAT
    out: /common/topic/alias
    outp: /common/topic/alias: 0.16, /biology/breed_origin/breeds_originating_here: -0.76, /sports/pro_athlete/teams|/sports/sports_team_roster/position: -0.81, /visual_art/visual_artist/associated_periods_or_movements: -0.84, /government/politician/government_positions_held|/government/government_position_held/office_position_or_title: -0.85
    gold:
  • which countries are part of the united kingdom?
    in: lat/administrative district/WordnetLAT, lat/political unit/WordnetLAT, lat/country/ImplicitQLAT, lat/group/WordnetLAT, lat/unit/WordnetLAT, lat/organization/WordnetLAT, lat/people/WordnetLAT, lat/countries/LAT, lat/geographical area/WordnetLAT, lat/social group/WordnetLAT, lat/district/WordnetLAT, lat/location/WordnetLAT, lat/region/WordnetLAT
    out:
    outp: /location/location/contains: -0.33, /location/location/adjoin_s|/location/adjoining_relationship/adjoins: -0.51, /location/location/partiallycontains|/location/partial_containment_relationship/partially_contains: -0.73, /location/statistical_region/places_exported_to|/location/imports_and_exports/exported_to: -0.73, /language/human_language/countries_spoken_in: -0.77
    gold: /location/location/containedby
  • 
    
    In [ ]:
    from sklearn.ensemble import GradientBoostingClassifier
    cfier_gb = OneVsRestClassifier(GradientBoostingClassifier(n_estimators=4, max_leaf_nodes=4, max_features='sqrt'), n_jobs=4)
    pprint(cfier_gb.fit(vtrain.X.toarray(), vtrain.Y))
    
    
    
    In [252]:
    pprint(cfier_gb)
    demo_model_cs(cfier_gb)
    
    
    
    
    OneVsRestClassifier(estimator=GradientBoostingClassifier(init=None, learning_rate=0.1, loss='deviance',
                  max_depth=3, max_features='sqrt', max_leaf_nodes=4,
                  min_samples_leaf=1, min_samples_split=2,
                  min_weight_fraction_leaf=0.0, n_estimators=4,
                  random_state=None, subsample=1.0, verbose=0,
                  warm_start=False),
              n_jobs=4)
    
    datasetqRecallAnyqRecallAllpPrecpScoreMRR
    train0.2610.2000.4760.469
    val0.1770.1620.1210.333
    devtest0.2120.1850.2160.357
    ---------------------------------------------------------------------------
    TypeError                                 Traceback (most recent call last)
    <ipython-input-252-73a7cd0c5770> in <module>()
          1 pprint(cfier_gb)
    ----> 2 demo_model_cs(cfier_gb)
    
    <ipython-input-251-1abbca10ed69> in demo_model_cs(cfier)
         15     display(HTML('<ul>'))
         16     for i in range(10):
    ---> 17         display(HTML(check_q_cs(cfier, vdevtest, devtest, i)))
         18     display(HTML('</ul>'))
    
    <ipython-input-251-1abbca10ed69> in check_q_cs(cfier, v, d, i)
          1 def check_q_cs(cfier, v, d, i):
    ----> 2     cs = cfier.decision_function(v.X[i])[0]
          3     top_cs = sorted(enumerate(cs), key=lambda k: k[1], reverse=True)
          4     top_lcs = ['<span style="color: %s">%s: %.2f</span>' % ('blue' if k[1] > 0 else 'red', v.Ydict.classes_[k[0]], k[1]) for k in top_cs[:5]]
          5     return '<li><b>%s</b><br><b>in:</b> %s<br><b>out:</b> %s<br><b>outp:</b> %s<br><b>gold:</b> %s</li>' % (
    
    /usr/lib/python2.7/dist-packages/sklearn/multiclass.pyc in decision_function(self, X)
        382                 "Base estimator doesn't have a decision_function attribute.")
        383         return np.array([est.decision_function(X).ravel()
    --> 384                          for est in self.estimators_]).T
        385 
        386     @property
    
    /usr/lib/python2.7/dist-packages/sklearn/ensemble/gradient_boosting.pyc in decision_function(self, X)
       1099             [n_samples].
       1100         """
    -> 1101         X = check_array(X, dtype=DTYPE, order="C")
       1102         score = self._decision_function(X)
       1103         if score.shape[1] == 1:
    
    /usr/lib/python2.7/dist-packages/sklearn/utils/validation.pyc in check_array(array, accept_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features)
        332             dtype = None
        333         array = _ensure_sparse_format(array, accept_sparse, dtype, order,
    --> 334                                       copy, force_all_finite)
        335     else:
        336         if ensure_2d:
    
    /usr/lib/python2.7/dist-packages/sklearn/utils/validation.pyc in _ensure_sparse_format(spmatrix, accept_sparse, dtype, order, copy, force_all_finite)
        237     """
        238     if accept_sparse is None:
    --> 239         raise TypeError('A sparse matrix was passed, but dense '
        240                         'data is required. Use X.toarray() to '
        241                         'convert to a dense numpy array.')
    
    TypeError: A sparse matrix was passed, but dense data is required. Use X.toarray() to convert to a dense numpy array.

    Conclusion

    • Multinomial Naive Bayes, Logistic regression and LinearSVC are preliminarily the best.
    • A lot of model variations remain to try (e.g. k-NN).
    • For 1D models like logreg and bayes, learning on the space of pairs of features might work better.
    • We want more question features, maybe the whole bag-of-words (-NE?), for paths like containedby in "which countries are part of the united kingdom?"
    • For initial full-pipeline prototype, we will implement logistic regression as it is also the simplest to do.

    Appendix: Exporting Data

    
    
    In [11]:
    cfier_log.classes_
    
    
    
    
    Out[11]:
    array([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,
            13,  14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,
            26,  27,  28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,
            39,  40,  41,  42,  43,  44,  45,  46,  47,  48,  49,  50,  51,
            52,  53,  54,  55,  56,  57,  58,  59,  60,  61,  62,  63,  64,
            65,  66,  67,  68,  69,  70,  71,  72,  73,  74,  75,  76,  77,
            78,  79,  80,  81,  82,  83,  84,  85,  86,  87,  88,  89,  90,
            91,  92,  93,  94,  95,  96,  97,  98,  99, 100, 101, 102, 103,
           104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116,
           117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129,
           130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142,
           143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155,
           156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168,
           169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181,
           182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194,
           195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207,
           208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220,
           221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233,
           234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246,
           247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259,
           260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272,
           273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285,
           286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298,
           299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311,
           312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324,
           325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337,
           338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350,
           351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363,
           364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376,
           377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389,
           390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402,
           403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415,
           416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428,
           429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441,
           442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454,
           455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467,
           468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478])
    
    
    In [14]:
    cfier_log.estimators_[0], len(cfier_log.estimators_)
    
    
    
    
    Out[14]:
    (LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
               intercept_scaling=1, max_iter=100, multi_class='ovr',
               penalty='l2', random_state=None, solver='liblinear', tol=0.0001,
               verbose=0), 479)
    
    
    In [40]:
    le = cfier_logl1.estimators_[3]
    
    
    
    In [80]:
    np.nonzero(le.coef_[0] != 0), le.coef_[le.coef_ != 0]
    
    
    
    
    Out[80]:
    ((array([ 153,  388,  410, 1493, 1501, 1935, 2371]),),
     array([-0.86101026, -0.38144722, -0.20563302,  0.34044562,  0.61014878,
             0.87300296,  2.81504375]))
    
    
    In [42]:
    le.intercept_
    
    
    
    
    Out[42]:
    array([-5.96286206])
    
    
    In [50]:
    len(vtrain.Xdict.feature_names_)
    
    
    
    
    Out[50]:
    2487
    
    
    In [77]:
    len(cfier_logl1.classes_)
    
    
    
    
    Out[77]:
    479
    
    
    In [74]:
    np.nonzero(vtrain.X[0].toarray()[0] > 0), \
    vtrain.Y[0].argmax(), \
    [vtrain.Xdict.feature_names_[i] for i in np.nonzero(vtrain.X[0].toarray()[0] > 0)[0]], \
    vtrain.Ydict.classes_[149]
    
    
    
    
    Out[74]:
    ((array([  48,   63,   64,   67,   79,  136,  176,  345,  388,  410,  426,
              439,  473,  557,  939,  955,  968,  978,  979, 1091, 1247, 1450,
             1455, 1518, 1532, 1567, 1614, 1646, 1788, 1863, 1871, 1877, 1922,
             2000, 2141, 2371]),),
     149,
     [u'lat/ability/WordnetLAT',
      u'lat/act/WordnetLAT',
      u'lat/acting/WordnetLAT',
      u'lat/activity/WordnetLAT',
      u'lat/adult/WordnetLAT',
      u'lat/approval/WordnetLAT',
      u'lat/attribute/WordnetLAT',
      u'lat/character/LAT',
      u'lat/cognition/WordnetLAT',
      u'lat/communication/WordnetLAT',
      u'lat/concept/WordnetLAT',
      u'lat/content/WordnetLAT',
      u'lat/creativity/WordnetLAT',
      u'lat/discipline/WordnetLAT',
      u'lat/honor/WordnetLAT',
      u'lat/humanistic discipline/WordnetLAT',
      u'lat/idea/WordnetLAT',
      u'lat/imaginary being/WordnetLAT',
      u'lat/imagination/WordnetLAT',
      u'lat/knowledge domain/WordnetLAT',
      u'lat/message/WordnetLAT',
      u'lat/performing arts/WordnetLAT',
      u'lat/person/WordnetLAT',
      u'lat/portrayal/WordnetLAT',
      u'lat/praise/WordnetLAT',
      u'lat/property/WordnetLAT',
      u'lat/recommendation/WordnetLAT',
      u'lat/repute/WordnetLAT',
      u'lat/signal/WordnetLAT',
      u'lat/standing/WordnetLAT',
      u'lat/state/WordnetLAT',
      u'lat/status/WordnetLAT',
      u'lat/symbol/WordnetLAT',
      u'lat/trait/WordnetLAT',
      u'lat/written symbol/WordnetLAT',
      u'sv=play'],
     u'/film/actor/film|/film/performance/character')
    
    
    In [87]:
    from fbpath_train_logistic import dump_cfier
    
    
    
    In [90]:
    dump_cfier(cfier_logl1, vtrain.Xdict, vtrain.Ydict)
    
    
    
    
    /// Model is OneVsRestClassifier(estimator=LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True, intercept_scaling=1, max_iter=100, multi_class='ovr', penalty='l1', random_state=None, solver='liblinear', tol=0.0001, verbose=0), n_jobs=4)
    {
      "/american_football/football_player/games|/american_football/player_game_statistics/team": {"lat/artifact/WordnetLAT": -0.86101026394692537, "lat/team/LAT": 0.87300296223730467, "lat/cognition/WordnetLAT": -0.38144721636997275, "lat/communication/WordnetLAT": -0.20563302091158286, "sv=play": 2.8150437526635081, "lat/playing/WordnetLAT": 0.61014877561399272, "lat/play/LAT": 0.34044562094822139, "_": -5.9628620590872394},
      "/american_football/football_player/passing|/american_football/player_passing_statistics/team": {"sv=play": 2.3563523484212006, "lat/artifact/WordnetLAT": -0.43889160131420346, "lat/cognition/WordnetLAT": -0.080469273147365863, "_": -6.218297426309678, "lat/communication/WordnetLAT": -0.0098246322736389655},
      "/american_football/football_player/receiving|/american_football/player_receiving_statistics/team": {"lat/artifact/WordnetLAT": -0.051542261495430196, "lat/team/LAT": 1.7798305022916252, "sv=play": 2.7035388191690384, "lat/person/WordnetLAT": -0.22605605474920737, "lat/playing/WordnetLAT": 0.025325549581222444, "lat/play/LAT": 1.8352336413948811, "_": -6.7613428657831323},
      "/american_football/football_player/rushing|/american_football/player_rushing_statistics/team": {"lat/artifact/WordnetLAT": -0.47968871022434678, "lat/cognition/WordnetLAT": -0.10561395251107027, "lat/communication/WordnetLAT": -0.026380641528783437, "sv=play": 2.4345216552808782, "lat/playing/WordnetLAT": 1.3399579207963552, "lat/play/LAT": 0.23802094962227596, "_": -6.2100198537787943},
      "/american_football/football_team/current_head_coach": {"lat/teacher/WordnetLAT": 1.3228475540357871, "lat/public transport/WordnetLAT": 1.4157387995383639, "lat/coach/LAT": 2.0006075425467911, "_": -6.8462148643387488, "lat/horse-drawn vehicle/WordnetLAT": 1.2597231083192473},
      "/american_football/football_team/division": {"lat/air unit/WordnetLAT": 0.27185870401128276, "lat/division/LAT": 0.16377965414513312, "lat/discord/WordnetLAT": 0.87869688148240921, "lat/separation/WordnetLAT": 0.20555624475841838, "lat/change of integrity/WordnetLAT": 0.21826631210478215, "lat/arithmetic operation/WordnetLAT": 0.22293260592629599, "_": -7.2548847636556735, "lat/mathematical process/WordnetLAT": 0.16574582092494203, "lat/phylum/WordnetLAT": 0.6137802822912185, "lat/league/WordnetLAT": 0.42273507692316531, "lat/calculation/WordnetLAT": 1.1924242719042866, "lat/disagreement/WordnetLAT": 2.0968945028313821, "lat/naval unit/WordnetLAT": 0.80221440684234202},
      "/award/award_category/winners|/award/award_honor/award_winner": {"_": -7.0554337179767801, "lat/person/QuestionWordLAT": 1.5191863679525288, "sv=won": 3.7221015309723882},
      "/award/award_nominated_work/award_nominations|/award/award_nomination/award_nominee": {"sv=played": 0.035131429660786924, "lat/person/QuestionWordLAT": 2.8277461192536832, "_": -6.7729765126974595},
      "/award/award_nominee/award_nominations|/award/award_nomination/award": {"_": -7.2419216079137714, "sv=won": 3.6306738245166232},
      "/award/award_nominee/award_nominations|/award/award_nomination/nominated_for": {"lat/movies/LAT": 0.020313547803436267, "lat/movie/ImplicitQLAT": 0.72898702936597848, "lat/location/WordnetLAT": -1.2531306611673381, "lat/show/WordnetLAT": 1.8991734845882939, "lat/actor/WordnetLAT": 1.3878172993035198, "sv=won": 1.0535736404780935, "lat/property/WordnetLAT": -0.42021844174411227, "lat/content/WordnetLAT": -0.66617772950365628, "lat/scientist/WordnetLAT": 0.49222761444329954, "lat/music/WordnetLAT": 0.075237058674671536, "lat/signal/WordnetLAT": 0.51986290684063097, "lat/songs/LAT": 1.9277205709905894, "lat/product/WordnetLAT": 2.6036501255570323, "lat/writer/WordnetLAT": 0.62109473827734385, "lat/location/QuestionWordLAT": -0.91009710627127105, "lat/person/QuestionWordLAT": -0.13331313837247913, "lat/song/ImplicitQLAT": 0.68155336032893521, "lat/event/WordnetLAT": 0.74649186833771575, "lat/measure/WordnetLAT": -0.39183163715424524, "_": -5.3369789720067349, "lat/organization/WordnetLAT": -0.30138153463342754, "lat/communicator/WordnetLAT": 1.2577324776997261},
      "/award/award_nominee/award_nominations|/award/award_nomination/notes_description": {"lat/date/QuestionWordLAT": 0.16162298110147849, "lat/time/QuestionWordLAT": 1.1735302206740423, "_": -6.6550292388888685, "sv=won": 2.6412972674125355},
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    In [ ]: