In [7]:

    

import models.bayesian_classification as model
%matplotlib inline


    

In [8]:

    

model = model.TitanicModel()


    

In [9]:

    

model.build_voting_model(model_size=10, n_jobs=4)
model.fit()


    

    




C:\Users\perus\AppData\Local\Continuum\Anaconda3\envs\bayes\lib\site-packages\sklearn\preprocessing\label.py:112: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().
  y = column_or_1d(y, warn=True)
C:\Users\perus\AppData\Local\Continuum\Anaconda3\envs\bayes\lib\site-packages\sklearn\preprocessing\label.py:147: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().
  y = column_or_1d(y, warn=True)

In [4]:

    

model.evaluate_model()


    

    
Out[4]:





0.84304932735426008

In [6]:

    

model.model.weights


    

In [ ]: