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Merge main to stable #133
Merge main to stable #133
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… most problematic options PiperOrigin-RevId: 666714677
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This is a breaking change that will allow us more flexibility in re-ordering the hyperparameters. PiperOrigin-RevId: 668342872
PiperOrigin-RevId: 668404720
PYDF exposes some parameters on every learner that are only supported on some of them. This change cleans up the lists of hyperparameters. This change also fixes some of the documentation of the learners. PiperOrigin-RevId: 668420630
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The training condition evaluation is composed of a loop over the examples and a switch over the condition type (and a few other things). Prior to this change, the example loop was outside the condition switch loop, forcing the algorithm to re-check the condition type (and other things) for each examples. After this change, the condition type is outside of the example loop. Example of speed-ups: 1. Average speed-up of 3.7% on all benchmark. 2. Speed-up of 10-15% on Adult dataset with GBT. 3. Speed-up of 8% on Adult dataset with RF. 4. Speed-up of 9% on 4M dataset with 200 features with discretized GBT. 5. No speed difference (<1% gain) on 4M dataset with 200 features non-discretized GBT. Note: The absolute gain is the same as 4., but since 5.'s training is longer, the relative gain is insignificant. PiperOrigin-RevId: 670888905
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…al values. PiperOrigin-RevId: 670980793
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…on supported task. PiperOrigin-RevId: 673362728
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We want to make the truncation parameter configurable. Renaming the loss is the first step. PiperOrigin-RevId: 675162089
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…ning PiperOrigin-RevId: 675174273
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…Default to 10 seconds. PiperOrigin-RevId: 675552053
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…ust. This adds support for Unicode strings, normalizes categorical set values in the same way as categorical values, and validates their types. As a consequence, boolean values in categorical sets are converted to lowercase, matching the treatment of categorical features. PiperOrigin-RevId: 675906253
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This change adds a few fixes to the NDCG truncation - Add a Python test that the learner correctly truncates - Simplify the proto by re-using the existing LambdMart options proto - Set the different ranking options as mutually exclusive hyperparameters - Fix the definition of the truncation hyperparameters as integers PiperOrigin-RevId: 676387366
Old: learner/gradient_boosted_trees/gradient_boosted_trees.proto New: model/gradient_boosted_trees/gradient_boosted_trees.proto PiperOrigin-RevId: 676396458
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Boolean features are split deterministically with positive going to the right and negative going to the left. PiperOrigin-RevId: 676796602
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