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

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

parameter_list = [[data,10],[data,20]]

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')

if __name__=='__main__':
	print('DiffusionMaps')
	converter_diffusionmaps_modular(*parameter_list[0])

