Drop DimensionReductionPreproc in python example

examples/undocumented/python/converter_locallylinearembedding.py

@@ -1,28 +1,27 @@
 #!/usr/bin/env python
-data = '../data/fm_train_real.dat'
-parameter_list = [[data,20],[data,30]]
+from tools.load import LoadMatrix
 
-def converter_locallylinearembedding (data_fname,k):
-	try:
-		from shogun import RealFeatures, CSVFile
-		try:
-			from shogun import LocallyLinearEmbedding
-		except ImportError:
-			print("LocallyLinearEmbedding not available")
-			exit(0)
+lm=LoadMatrix()
+data = lm.load_numbers('../data/fm_train_real.dat')
 
-		features = RealFeatures(CSVFile(data_fname))
+parameter_list = [[data, 20], [data, 30]]
 
-		converter = LocallyLinearEmbedding()
-		converter.set_target_dim(1)
-		converter.set_k(k)
-		converter.apply(features)
+def converter_locallylinearembeeding (data, k):
+	from shogun import RealFeatures
+	from shogun import LocallyLinearEmbedding
+
+	features = RealFeatures(data)
+
+	converter = LocallyLinearEmbedding()
+	converter.set_k(k)
+
+	converter.fit(features)
+	features = converter.apply(features)
+
+	return features
 
-		return features
-	except ImportError:
-		print('No Eigen3 available')
 
 if __name__=='__main__':
 	print('LocallyLinearEmbedding')
-	converter_locallylinearembedding(*parameter_list[0])
+	converter_locallylinearembeeding(*parameter_list[0])