<gh_stars>1-10
#!/usr/bin/env python
from tools.load import LoadMatrix

lm=LoadMatrix()
data = lm.load_numbers('../data/fm_train_real.dat')

parameter_list = [[data, 20], [data, 30]]

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


if __name__=='__main__':
	print('DimensionReductionPreprocessor')
	preprocessor_dimensionreductionpreprocessor_modular(*parameter_list[0])


#!/usr/bin/env python
from tools.load import LoadMatrix

lm=LoadMatrix()
data = lm.load_numbers('../data/fm_train_real.dat')

parameter_list = [[data, 20], [data, 30]]

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


if __name__=='__main__':
	print('DimensionReductionPreprocessor')
	preprocessor_dimensionreductionpreprocessor_modular(*parameter_list[0])
#!/usr/bin/env python