In [1]:

    

%load_ext watermark
%watermark -u -d -v -p numpy,matplotlib,scipy,pandas,sklearn,mlxtend


    

    




last updated: 2017-02-21 

CPython 2.7.10
IPython 5.2.2

numpy 1.12.0
matplotlib 2.0.0
scipy 0.15.1
pandas 0.19.2
sklearn 0.18.1
mlxtend 0.5.1

In [2]:

    

%matplotlib inline
from __future__ import division, print_function
from collections import defaultdict
import itertools
import numpy as np
from scipy import interp
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
import seaborn.apionly as sns

from sklearn.metrics import accuracy_score, confusion_matrix, roc_curve, auc, classification_report
from sklearn.model_selection import cross_val_score, StratifiedShuffleSplit, KFold, StratifiedKFold
from mlxtend.feature_selection import SequentialFeatureSelector as SFS

import composition as comp
import composition.analysis.plotting as plotting
    
color_dict = {'light': 'C0', 'heavy': 'C1', 'total': 'C2',
             'P': 'C0', 'He': 'C1', 'O': 'C3', 'Fe':'C4'}


    

    




/home/jbourbeau/.local/lib/python2.7/site-packages/sklearn/cross_validation.py:44: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.
  "This module will be removed in 0.20.", DeprecationWarning)

In [ ]:

    

comp_class = True
comp_list = ['light', 'heavy'] if comp_class else ['P', 'He', 'O', 'Fe']