def converter_diffusionmaps_modular(data, t): from shogun.Features import RealFeatures from shogun.Converter import DiffusionMaps from shogun.Kernel import GaussianKernel features = RealFeatures(data) converter = DiffusionMaps() converter.set_target_dim(1) converter.set_kernel(GaussianKernel(10, 10.0)) converter.set_t(t) converter.apply(features) return features
def converter_diffusionmaps_modular(data,t): from shogun.Features import RealFeatures from shogun.Converter import DiffusionMaps from shogun.Kernel import GaussianKernel features = RealFeatures(data) converter = DiffusionMaps() converter.set_target_dim(1) converter.set_kernel(GaussianKernel(10,10.0)) converter.set_t(t) converter.apply(features) return features
def converter_diffusionmaps_modular(data, t): try: from shogun.Features import RealFeatures from shogun.Converter import DiffusionMaps from shogun.Kernel import GaussianKernel features = RealFeatures(data) converter = DiffusionMaps() converter.set_target_dim(1) converter.set_kernel(GaussianKernel(10, 10.0)) converter.set_t(t) converter.apply(features) return features except ImportError: print('No Eigen3 available')
def converter_diffusionmaps_modular (data,t): try: from shogun.Features import RealFeatures from shogun.Converter import DiffusionMaps from shogun.Kernel import GaussianKernel features = RealFeatures(data) converter = DiffusionMaps() converter.set_target_dim(1) converter.set_kernel(GaussianKernel(10,10.0)) converter.set_t(t) converter.apply(features) return features except ImportError: print('No Eigen3 available')