In [3]:

    

%matplotlib inline
from matplotlib import pylab as pl
import cPickle as pickle
import pandas as pd
import numpy as np
import os


    

In [4]:

    

def prb2logit(x):
    return np.log(x/(1.-x))
def logit2prb(x):
    return 1./(1+np.exp(-x))


    

In [12]:

    

df = pd.DataFrame()
df['gb'] = pd.read_csv('../submissions/141107-predict.4.csv', index_col='clip', squeeze=True)
df['rf'] = pd.read_csv('../submissions/141107-predict.2.csv', index_col='clip', squeeze=True)
df['best'] = pd.read_csv('../submissions/141106-predict.3.csv', index_col='clip', squeeze=True)


    

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df['preictal'] = prb2logit(df['gb'])
df['preictal'] = logit2prb(0.1*df['preictal'])


    

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df['preictal'].to_csv('../submissions/141107-predict.11.csv', header=True)


    

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pd.scatter_matrix(df[['best','rf','preictal']]);


    

In [16]: