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authorCalvin <calvin@EESI>2013-03-26 13:44:35 -0400
committerCalvin <calvin@EESI>2013-03-26 13:44:35 -0400
commiteac04614526d7d619822bbabf46543053e5e7200 (patch)
tree5e4be62de68126cb9569b03ece6666ff391ea417 /python/demo_feast_wrapper.py
parent94da049a53423a9aca04d8376b75347ca7eadcbe (diff)
renamed a bunch of stuff
Diffstat (limited to 'python/demo_feast_wrapper.py')
-rw-r--r--python/demo_feast_wrapper.py114
1 files changed, 0 insertions, 114 deletions
diff --git a/python/demo_feast_wrapper.py b/python/demo_feast_wrapper.py
deleted file mode 100644
index 0a9633a..0000000
--- a/python/demo_feast_wrapper.py
+++ /dev/null
@@ -1,114 +0,0 @@
-#!/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!'
-
-
-
-