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
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
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
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
