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#!/usr/bin/env python
import feast
import numpy as np
import import_data
print '---> Loading digit data'
data_source = 'uniform'
if data_source == 'uniform':
data, labels = import_data.uniform_data()
elif data_source == 'digits':
data, labels = import_data.read_digits('digit.txt')
print data
n_observations = len(data) # number of samples in the data set
n_features = len(data.transpose()) # number of features in the data set
n_select = 15 # how many features to select
method = 'JMI' # feature selection algorithm
print '---> Information'
print ' :n_observations - ' + str(n_observations)
print ' :n_features - ' + str(n_features)
print ' :n_select - ' + str(n_select)
print ' :algorithm - ' + str(method)
selected_features = feast.JMI(data, labels, n_select)
print selected_features
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