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2D: scale the multi level learner by the level with the largest ptp distance
Bas Nijholt authored on 22/11/2017 14:15:54
Showing 1 changed files
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@@ -13,7 +13,7 @@ from .base_learner import BaseLearner |
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# Learner2D and helper functions. |
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def deviations(ip): |
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- values = ip.values / (ip.values.ptp() or 1) |
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+ values = ip.values / (ip.values.ptp(axis=0).max() or 1) |
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gradients = interpolate.interpnd.estimate_gradients_2d_global( |
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ip.tri, values, tol=1e-6) |
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