Exemplo n.º 1
0
def SelectSubSetmRMR(vectors, classes):
	X = vectors
	y = classes
	# define MI_FS feature selection method
	feat_selector = mifs.MutualInformationFeatureSelector()

	# find all relevant features
	feat_selector.fit(X, y)

	# check selected features
	feat_selector.support_

	# check ranking of features
	return feat_selector.ranking_
def SelectSubSetmRMR(vectors, classes, useMethod='MRMR'):#, numOfFeatures=500):
	X = vectors
	y = classes
	# define MI_FS feature selection method
	feat_selector = mifs.MutualInformationFeatureSelector(method=useMethod) #n_features=numOfFeatures)

	# find all relevant features
	feat_selector.fit(X, y)

	# check selected features
	feat_selector.support_

	# check ranking of features
	return feat_selector.ranking_
Exemplo n.º 3
0
def SelectSubSetmRMR(vectors, classes,useMethod,features):
	X = vectors
	y = classes
	# define MI_FS feature selection method
	feat_selector = mifs.MutualInformationFeatureSelector(method=useMethod,n_features=features)

	# find all relevant features
	feat_selector.fit(X, y)

	# check selected features
	print (feat_selector.support_)

	
	# check ranking of features
	print (feat_selector.ranking_)
	print (len(feat_selector.ranking_))
	selected_indices=feat_selector.ranking_

	# call transform() on X to filter it down to selected features
	X_filtered = feat_selector.transform(X)
	return [X_filtered,selected_indices]