

In [2]:

    
%pylab inline









    



Populating the interactive namespace from numpy and matplotlib



In [3]:

    
from corpus import *
import pandas as pd
import seaborn as sns
def df_in(path):
    return pd.DataFrame([Json(file).dict() for file in Filter(Directory(path), '.txt')])

Alpha



In [17]:

    
df = df_in('runs-2017-09-29')
sns.regplot(x=df.doc_topic_prior, y=df.perplexity)









    Out[17]:





<matplotlib.axes._subplots.AxesSubplot at 0x1c80372ae10>

Eta



In [8]:

    
df = df_in('runs-2017-10-03')
sns.regplot(x=df.topic_word_prior, y=df.perplexity)
print('TWP:', df[df.perplexity == df.perplexity.min()].topic_word_prior)
print('DTP:', df[df.perplexity == df.perplexity.min()].doc_topic_prior)









    



TWP: 98    0.375
Name: topic_word_prior, dtype: float64
DTP: 98    0.365
Name: doc_topic_prior, dtype: float64