def profileLearnModel(self):
treeRankForest = TreeRankForestR()
treeRankForest.printMemStats = True
treeRankForest.setMaxDepth(2)
treeRankForest.setNumTrees(5)
numExamples = 650
numFeatures = 950
X = numpy.random.rand(numExamples, numFeatures)
Y = numpy.array(numpy.random.rand(numExamples) < 0.1, numpy.int)
def run():
for i in range(10):
print("Iteration " + str(i))
treeRankForest.learnModel(X, Y)
#print(treeRank.getTreeSize())
#print(treeRank.getTreeDepth())
ProfileUtils.profile('run()', globals(), locals())
def profileLearnModel(self):
treeRankForest = TreeRankForestR()
treeRankForest.printMemStats = True
treeRankForest.setMaxDepth(2)
treeRankForest.setNumTrees(5)
numExamples = 650
numFeatures = 950
X = numpy.random.rand(numExamples, numFeatures)
Y = numpy.array(numpy.random.rand(numExamples) < 0.1, numpy.int)
def run():
for i in range(10):
print("Iteration " + str(i))
treeRankForest.learnModel(X, Y)
#print(treeRank.getTreeSize())
#print(treeRank.getTreeDepth())
ProfileUtils.profile('run()', globals(), locals())
