Zafarullah Mahmood zaffnet

Senior Software Engineer - AI @thomsonreuters

zaffnet / convnet_forward.py

Created January 24, 2017 05:33

	for n in range(N):
	for i, j in np.ndindex(H_out, W_out):
	blob = x[n, :, istride:istride+HH, jstride:jstride+WW]
	out[n, :, i, j] = np.sum(w*blob, axis=(1,2,3)) + b

zaffnet / convnet_forward

Created January 24, 2017 05:32

	for n in range(N):
	for i, j in np.ndindex(H_out, W_out):
	blob = x[n, :, istride:istride+HH, jstride:jstride+WW]
	out[n, :, i, j] = np.sum(w*blob, axis=(1,2,3)) + b

zaffnet / feat_imp.py

Last active August 6, 2016 10:16

scikit learn Recursive Feature Elimination

	# Feature Importance
	from sklearn import datasets
	from sklearn import metrics
	from sklearn.ensemble import ExtraTreesClassifier
	# load the iris datasets
	dataset = datasets.load_iris()
	# fit an Extra Trees model to the data
	model = ExtraTreesClassifier()
	model.fit(dataset.data, dataset.target)
	# display the relative importance of each attribute