Esempi in Python per LocallyLinearEmbedding

Esempio n. 1

def preprocessor_dimensionreductionpreprocessor_modular (data, k):
	from modshogun import RealFeatures
	from modshogun import DimensionReductionPreprocessor
	from modshogun import LocallyLinearEmbedding

	features = RealFeatures(data)

	converter = LocallyLinearEmbedding()
	converter.set_k(k)

	preprocessor = DimensionReductionPreprocessor(converter)
	preprocessor.init(features)
	preprocessor.apply_to_feature_matrix(features)

	return features

Esempio n. 2

File: preprocessor_dimensionreductionpreprocessor_modular.py Progetto: JackieXie168/shogun

def preprocessor_dimensionreductionpreprocessor_modular(data, k):
    from modshogun import RealFeatures
    from modshogun import DimensionReductionPreprocessor
    from modshogun import LocallyLinearEmbedding

    features = RealFeatures(data)

    converter = LocallyLinearEmbedding()
    converter.set_k(k)

    preprocessor = DimensionReductionPreprocessor(converter)
    preprocessor.init(features)
    preprocessor.apply_to_feature_matrix(features)

    return features

Esempio n. 3

File: preprocessor_dimensionreductionpreprocessor_modular.py Progetto: zhqanddcy/shogun

def preprocessor_dimensionreductionpreprocessor_modular(data, k):
    from modshogun import RealFeatures
    from modshogun import DimensionReductionPreprocessor
    try:
        from modshogun import LocallyLinearEmbedding
    except ImportError:
        print("LocallyLinearEmbedding not available")
        exit(0)

    features = RealFeatures(data)

    converter = LocallyLinearEmbedding()
    converter.set_k(k)

    preprocessor = DimensionReductionPreprocessor(converter)
    preprocessor.init(features)
    preprocessor.apply_to_feature_matrix(features)

    return features

Esempio n. 4

File: preprocessor_dimensionreductionpreprocessor_modular.py Progetto: minxuancao/shogun

def preprocessor_dimensionreductionpreprocessor_modular (data, k):
	from modshogun import RealFeatures
	from modshogun import DimensionReductionPreprocessor
	try:
		from modshogun import LocallyLinearEmbedding
	except ImportError:
		print("LocallyLinearEmbedding not available")
		exit(0)

	features = RealFeatures(data)

	converter = LocallyLinearEmbedding()
	converter.set_k(k)

	preprocessor = DimensionReductionPreprocessor(converter)
	preprocessor.init(features)
	preprocessor.apply_to_feature_matrix(features)

	return features

Esempio n. 5

File: converter_locallylinearembedding_modular.py Progetto: manantomar/test

def converter_locallylinearembedding_modular(data_fname, k):
    try:
        from modshogun import RealFeatures, LocallyLinearEmbedding, CSVFile

        features = RealFeatures(CSVFile(data_fname))

        converter = LocallyLinearEmbedding()
        converter.set_target_dim(1)
        converter.set_k(k)
        converter.apply(features)

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

Esempio n. 6

File: converter_locallylinearembedding_modular.py Progetto: 42MachineLearning/shogun

def converter_locallylinearembedding_modular (data_fname,k):
	try:
		from modshogun import RealFeatures, LocallyLinearEmbedding, CSVFile

		features = RealFeatures(CSVFile(data_fname))

		converter = LocallyLinearEmbedding()
		converter.set_target_dim(1)
		converter.set_k(k)
		converter.apply(features)

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