Exemplos de LDA.get_bias em Python

Exemplo n.º 1

Arquivo: classifier_lda_modular.py Projeto: 42MachineLearning/shogun

def classifier_lda_modular (train_fname=traindat,test_fname=testdat,label_fname=label_traindat,gamma=3,num_threads=1):
	from modshogun import RealFeatures, BinaryLabels, LDA, CSVFile

	feats_train=RealFeatures(CSVFile(train_fname))
	feats_test=RealFeatures(CSVFile(test_fname))
	labels=BinaryLabels(CSVFile(label_fname))

	lda=LDA(gamma, feats_train, labels)
	lda.train()

	bias=lda.get_bias()
	w=lda.get_w()
	predictions = lda.apply(feats_test).get_labels()
	return lda,predictions

Exemplo n.º 2

def classifier_lda_modular(train_fname=traindat,
                           test_fname=testdat,
                           label_fname=label_traindat,
                           gamma=3,
                           num_threads=1):
    from modshogun import RealFeatures, BinaryLabels, LDA, CSVFile

    feats_train = RealFeatures(CSVFile(train_fname))
    feats_test = RealFeatures(CSVFile(test_fname))
    labels = BinaryLabels(CSVFile(label_fname))

    lda = LDA(gamma, feats_train, labels)
    lda.train()

    bias = lda.get_bias()
    w = lda.get_w()
    predictions = lda.apply(feats_test).get_labels()
    return lda, predictions