convert conjugate index to CSVFile

examples/undocumented/python_modular/classifier_conjugateindex_modular.py

@@ -1,21 +1,17 @@
 #!/usr/bin/env python
-from tools.load import LoadMatrix
-lm=LoadMatrix()
+traindat = '../data/fm_train_real.dat'
+testdat = '../data/fm_test_real.dat'
+label_traindat = '../data/label_train_multiclass.dat'
 
-traindat = lm.load_numbers('../data/fm_train_real.dat')
-testdat = lm.load_numbers('../data/fm_test_real.dat')
-label_traindat = lm.load_labels('../data/label_train_multiclass.dat')
+parameter_list = [[traindat,testdat,label_traindat]]
 
-parameter_list = [[traindat,testdat,label_traindat],[traindat,testdat,label_traindat]]
+def classifier_conjugateindex_modular (train_fname=traindat,test_fname=testdat,label_fname=label_traindat):
+	from modshogun import RealFeatures, MulticlassLabels, ConjugateIndex, CSVFile
 
-def classifier_conjugateindex_modular (fm_train_real=traindat,fm_test_real=testdat,label_train_multiclass=label_traindat):
-	from shogun.Features import RealFeatures, MulticlassLabels
-	from shogun.Classifier import ConjugateIndex
+	feats_train=RealFeatures(CSVFile(train_fname))
+	feats_test=RealFeatures(CSVFile(test_fname))
 
-	feats_train = RealFeatures(fm_train_real)
-	feats_test = RealFeatures(fm_test_real)
-
-	labels = MulticlassLabels(label_train_multiclass)
+	labels = MulticlassLabels(CSVFile(label_fname))
 
 	ci = ConjugateIndex(feats_train, labels)
 	ci.train()