moved out of src, added a basic setup.py

1 files changed, 114 insertions, 0 deletions

diff --git a/test/test.py b/test/test.py
new file mode 100644
index 0000000..0a9633a
--- /dev/null
+++ b/test/test.py
@@ -0,0 +1,114 @@
+#!/usr/bin/env python 
+from feast import *
+import numpy as np
+import import_data 
+
+
+def check_result(selected_features, n_relevant):
+	selected_features = sorted(selected_features)
+	success = True
+	for k in range(n_relevant):
+		if k != selected_features[k]:
+			success = False
+	return success
+
+
+
+n_relevant = 5
+data_source = 'uniform'    # set the data set we want to test
+
+
+if data_source == 'uniform':
+	data, labels = import_data.uniform_data(n_relevant = n_relevant)
+elif data_source == 'digits':
+	data, labels = import_data.read_digits('digit.txt')
+
+n_observations = len(data)					# number of samples in the data set
+n_features = len(data.transpose())	# number of features in the data set
+n_select = 15												# how many features to select
+method = 'JMI'											# feature selection algorithm
+
+
+print '---> Information'
+print '     :n_observations - ' + str(n_observations)
+print '     :n_features     - ' + str(n_features)
+print '     :n_select       - ' + str(n_select)
+print '     :algorithm      - ' + str(method)
+print ' '
+print '---> Running unit tests on FEAST 4 Python... '
+
+
+#################################################################
+#################################################################
+print '       Running BetaGamma... '
+sf = BetaGamma(data, labels, n_select, beta=0.5, gamma=0.5)
+if check_result(sf, n_relevant) == True:
+	print '          BetaGamma passed!'
+else:
+	print '          BetaGamma failed!'
+
+
+#################################################################
+#################################################################
+print '       Running CMIM... '
+sf = CMIM(data, labels, n_select)
+if check_result(sf, n_relevant) == True:
+	print '          CMIM passed!'
+else:
+	print '          CMIM failed!'
+
+
+#################################################################
+#################################################################
+print '       Running CondMI... '
+sf = CondMI(data, labels, n_select)
+if check_result(sf, n_relevant) == True:
+	print '          CondMI passed!'
+else:
+	print '          CondMI failed!'
+
+
+#################################################################
+#################################################################
+print '       Running DISR... '
+sf = DISR(data, labels, n_select)
+if check_result(sf, n_relevant) == True:
+	print '          DISR passed!'
+else:
+	print '          DISR failed!'
+
+
+#################################################################
+#################################################################
+print '       Running ICAP... '
+sf = ICAP(data, labels, n_select)
+if check_result(sf, n_relevant) == True:
+	print '          ICAP passed!'
+else:
+	print '          ICAP failed!'
+
+
+#################################################################
+#################################################################
+print '       Running JMI... '
+sf = JMI(data, labels, n_select)
+if check_result(sf, n_relevant) == True:
+	print '          JMI passed!'
+else:
+	print '          JMI failed!'
+
+
+#################################################################
+#################################################################
+print '       Running mRMR... '
+sf = mRMR(data, labels, n_select)
+if check_result(sf, n_relevant) == True:
+	print '          mRMR passed!'
+else:
+	print '          mRMR failed!'
+
+print '---> Done unit tests!'
+
+
+
+