""" See the module for the explanation of each function. """
train = open('IrisTrain2014.dt', 'r')
test = open('IrisTest2014.dt', 'r')
#Calling read and split
train_set = KNN.read_data(train)
test_set = KNN.read_data(test)
transformed_test = KNN.transformtest(train_set, test_set)
print "*" * 45
print "Mean and variance"
print "*" * 45
print " Train set:"
zeromean_train = KNN.meanfree(train_set)
print "-" * 45
print " Normalized rain set:"
getting_mean_for_normalized_train = KNN.meanfree(zeromean_train)
print "-" * 45
print "Scaled test set"
just_for_getting_mean_on_scaled_test_set = KNN.meanfree(transformed_test)
print "-" * 45
#Different K
K = [1,3,5]
Kcrossval = [1,3,5,7,9,11,13,15,17,21,25]
Kbest = [15]
Kbest2 = [1,21]
""" See the module for the explanation of each function. """
train = open("IrisTrain2014.dt", "r")
test = open("IrisTest2014.dt", "r")
# Calling read and split
train_set = KNN.read_data(train)
test_set = KNN.read_data(test)
print "*" * 45
print "Mean and variance"
print "*" * 45
print " Train set:"
zeromean_train = KNN.meanfree(train_set)
print "-" * 45
print "Test set"
zeromean_test = KNN.meanfree(test_set)
print "-" * 45
print "Normalized test set"
just_for_getting_mean_on_test_set = KNN.meanfree(zeromean_test)
# Different K
K = [1, 3, 5]
Kcrossval = [1, 3, 5, 7, 9, 11, 13, 15, 17, 21, 25]
Kbest = [15]
Kbest2 = [1, 21]
