Example #1
0
# Author : Jean-Michel Begon
"""
Apply randConvRepeatedly
"""

import numpy as np
import randConvCifar as rc


def variability(importance):
    return np.std(importance)


if __name__ == "__main__":
    nbRun = 50
    acc = []
    importances = []
    for i in xrange(nbRun):
        accTmp, _, imp, _ = rc.run()
        acc.append(accTmp)
        importances.append(variability(imp))

    print "Accuracies"
    print acc
    npAcc = np.array(acc)
    print "Mean accuracy", npAcc.mean()
    print "Stdev accuracy",  npAcc.std()
    print "---------------------------------"
    print "Feature importance std"
    print importances
# Author : Jean-Michel Begon
"""
Apply randConvRepeatedly
"""

import numpy as np
import randConvCifar as rc


def variability(importance):
    return np.std(importance)


if __name__ == "__main__":
    nbRun = 50
    acc = []
    importances = []
    for i in xrange(nbRun):
        accTmp, _, imp, _ = rc.run()
        acc.append(accTmp)
        importances.append(variability(imp))

    print "Accuracies"
    print acc
    npAcc = np.array(acc)
    print "Mean accuracy", npAcc.mean()
    print "Stdev accuracy", npAcc.std()
    print "---------------------------------"
    print "Feature importance std"
    print importances

if __name__ == "__main__":
    fileName = "varTreeFeatures"
#    nbTree = [10, 60, 120, 500]
#    nbFeatures = [100, 500, 1000, 5000]
    nbTree = [10]
    nbFeatures = [10]
    includeOriginalImage = True

    tupTree = []
    tupFeat = []
    for i in range(min([len(nbTree), len(nbFeatures)])):
        #Var nb tree
        tup = rc.run(includeOriginalImage=includeOriginalImage,
                     nbTrees=nbTree[i],
                     random=False)
        fn = fileName+"_tree"+str(nbTree[i])
        with open(fn, "wb") as f:
            cPickle.dump(tup, f, protocol=2)
        tupTree.append(tup)
        #Var nb features
        tup = rc.run(includeOriginalImage=includeOriginalImage,
                     maxFeatures=nbFeatures[i],
                     random=False)
        fn = fileName+"_feature"+str(nbFeatures[i])
        with open(fn, "wb") as f:
            cPickle.dump(tup, f, protocol=2)
        tupFeat.append(tup)
        #Signal
        print ">>>> ", i, " done"