commit | 8e73a6d54b44260696cc9e81df9c07599414a710 | [log] [tgz] |
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author | liberato@chromium.org <liberato@chromium.org> | Fri May 17 00:58:51 2019 |
committer | Commit Bot <commit-bot@chromium.org> | Fri May 17 00:58:51 2019 |
tree | b88f4ad5657066714b2010e383720c0912b8a994 | |
parent | 7de2dd8e82f81d563b8439499f9f6049e31fcd39 [diff] |
Update media learning experiments. First, it adds (Base | Enhanced)UnweightedTree200 experiments, which are like the originals but with 200 training examples maximum instead of 100. Since we're focusing on unweighted regression, this CL removes: - BaseTable This didn't seem to be representative of real MediaCapabilities probably due to lack of data / no data persistence. Since we are focusing on unweighted anyway, BaseUnweightedTable or BaseUnweightedTree are better baselines. We can also compare those to the upcoming unweighted MediaCapabilities experiment. - BaseTree This was an okay stand-in for MediaCapabilities, but since we are focusing on unweighted tasks, it's unclear that it means much as a baseline anymore. BaseUnweightedTree is better to use as a baseline now. - EnhancedTree This didn't perform much differently than BaseTree, and was weighted anyway. - EnhancedUnweightedTree This didn't perform much differently than the unweighted tree, so no need to maintain it. The newly-added 200 variant has a larger training set maximum size (200(!)), so we can see if that lets us get some more value from the new features. To check the value of the features, compare the 200 variant to the BaseUnweightedTree200 instead. - BinarySmoothness This isn't a regression task. Change-Id: I18b5a8bd042d7e44ba0c2e7e3780fa4fbc31c6a5 Reviewed-on: https://chromium-review.googlesource.com/c/chromium/src/+/1606596 Reviewed-by: Ilya Sherman <isherman@chromium.org> Reviewed-by: Chrome Cunningham <chcunningham@chromium.org> Commit-Queue: Frank Liberato <liberato@chromium.org> Cr-Commit-Position: refs/heads/master@{#660682}
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