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2 parents 39336f2 + 271d885 commit 356e3e4Copy full SHA for 356e3e4
examples/stream-based_sampling.py
@@ -1,5 +1,5 @@
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"""
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-In this example the use of ActiveLearner is demonstrated in a pool-based sampling setting.
+In this example the use of ActiveLearner is demonstrated in a stream-based sampling setting.
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import numpy as np
@@ -67,5 +67,5 @@
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plt.figure(figsize=(7, 7))
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prediction = learner.predict_proba(X_full)[:, 1]
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plt.imshow(prediction.reshape(im_width, im_height))
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- plt.title('Initial prediction accuracy: %f' % learner.score(X_full, y_full))
+ plt.title('Final prediction accuracy: %f' % learner.score(X_full, y_full))
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plt.show()
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