Python FactorAnalysis.set_target_dim Exemples

Exemple #1

def converter_factoranalysis_modular(data):
	try:
		from shogun.Features import RealFeatures
		from shogun.Converter import FactorAnalysis
		from shogun.Distance import EuclideanDistance
		
		features = RealFeatures(data)
			
		converter = FactorAnalysis()
		converter.set_target_dim(2)
		embedding = converter.apply(features)

		return embedding
	except ImportError:
		print('No Eigen3 available')

Exemple #2

Fichier : converter_factoranalysis_modular.py Projet : monalisag/shogun

def converter_factoranalysis_modular(data):
	try:
		from shogun.Features import RealFeatures
		from shogun.Converter import FactorAnalysis
		from shogun.Distance import EuclideanDistance
		
		features = RealFeatures(data)
			
		converter = FactorAnalysis()
		converter.set_target_dim(2)
		embedding = converter.apply(features)

		X = embedding.get_feature_matrix()
		covdet = numpy.linalg.det(numpy.dot(X,X.T))

		return covdet > 0
	except ImportError:
		print('No Eigen3 available')

Exemple #3

Fichier : converter_factoranalysis_modular.py Projet : monalisag/shogun

def converter_factoranalysis_modular(data):
    try:
        from shogun.Features import RealFeatures
        from shogun.Converter import FactorAnalysis
        from shogun.Distance import EuclideanDistance

        features = RealFeatures(data)

        converter = FactorAnalysis()
        converter.set_target_dim(2)
        embedding = converter.apply(features)

        X = embedding.get_feature_matrix()
        covdet = numpy.linalg.det(numpy.dot(X, X.T))

        return covdet > 0
    except ImportError:
        print('No Eigen3 available')