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Dataset Masking: Per-Sample Training Weight #135

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merged 6 commits into from
Nov 22, 2015
Merged

Dataset Masking: Per-Sample Training Weight #135

merged 6 commits into from
Nov 22, 2015

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alexjc
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@alexjc alexjc commented Nov 22, 2015

Closes #125.

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alexjc commented Nov 22, 2015

This apparently breaks the code with non-masked data. Looking into it.

alexjc added a commit that referenced this pull request Nov 22, 2015
Dataset Masking: Per-Sample Training Weight
@alexjc alexjc merged commit 666a68e into master Nov 22, 2015
@alexjc alexjc deleted the cost branch November 22, 2015 16:15
@paullo0106
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@alexjc hi Alex, I just pip install scikit-neuralnetwork (0.4) and would like to use nn.fit(X_train, y_train, w_train) as shown in the Per-sample weighting example. However, I don't see that w variable in my fit() function in the sknn source code therefore I couldn't pass in the parameter. What could be the reason? Thank you.

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alexjc commented Dec 3, 2015

We haven't yet pushed fit() with weight to PIP. It's in master only.

There's a different documentation page for stable (linked from PIP) here: scikit-neuralnetwork.readthedocs.org/en/stable/guide_beginners.html

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Thanks Alex, let me take a look!

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