From 788b1ccc8701ed9ac13066f9b6e04cb0b6bd903c Mon Sep 17 00:00:00 2001
From: Wuwei Lin <vincentl13x@gmail.com>
Date: Tue, 22 May 2018 10:32:25 +0800
Subject: [PATCH] Drop DimensionReductionPreproc in python example

---
 .../converter_locallylinearembedding.py       | 37 +++++++++----------
 ...rocessor_dimensionreductionpreprocessor.py | 33 -----------------
 2 files changed, 18 insertions(+), 52 deletions(-)
 delete mode 100644 examples/undocumented/python/preprocessor_dimensionreductionpreprocessor.py

diff --git a/examples/undocumented/python/converter_locallylinearembedding.py b/examples/undocumented/python/converter_locallylinearembedding.py
index 1c85d3ffd11..d37d08e4af2 100644
--- a/examples/undocumented/python/converter_locallylinearembedding.py
+++ b/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])
 
diff --git a/examples/undocumented/python/preprocessor_dimensionreductionpreprocessor.py b/examples/undocumented/python/preprocessor_dimensionreductionpreprocessor.py
deleted file mode 100644
index aed7d68a509..00000000000
--- a/examples/undocumented/python/preprocessor_dimensionreductionpreprocessor.py
+++ /dev/null
@@ -1,33 +0,0 @@
-#!/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 (data, k):
-	from shogun import RealFeatures
-	from shogun import DimensionReductionPreprocessor
-	try:
-		from shogun import LocallyLinearEmbedding
-	except ImportError:
-		print("LocallyLinearEmbedding not available")
-		exit(0)
-
-	features = RealFeatures(data)
-
-	converter = LocallyLinearEmbedding()
-	converter.set_k(k)
-
-	preprocessor = DimensionReductionPreprocessor(converter)
-	preprocessor.fit(features)
-	features = preprocessor.apply(features)
-
-	return features
-
-
-if __name__=='__main__':
-	print('DimensionReductionPreprocessor')
-	preprocessor_dimensionreductionpreprocessor(*parameter_list[0])
-