Exclude 'step' from Sensitivity analysis by fixing step at full-progression 'step' #4777
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…ession 'step' (facebook#4777) Summary: This diff excludes the "step" feature (MAP_KEY) from sensitivity analysis plots by adding `exclude_map_key` and `target_step` parameters throughout the sensitivity computation. When `exclude_map_key=True` (the new default), the `ax_parameter_sens()` function fixes the step feature at the specified `target_step` value (or the maximum step if not provided) using a `FixedFeatureModel` wrapper, then computes Sobol indices over the remaining parameters. This ensures "step" never appears in the output, making sensitivity plots more interpretable for users who care about parameter effects at final performance rather than across all training steps. Differential Revision: D90819468
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…ession 'step' (facebook#4777) Summary: This diff excludes the "step" feature (MAP_KEY) from sensitivity analysis plots by adding `exclude_map_key` and `target_step` parameters throughout the sensitivity computation. When `exclude_map_key=True` (the new default), the `ax_parameter_sens()` function fixes the step feature at the specified `target_step` value (or the maximum step if not provided) using a `FixedFeatureModel` wrapper, then computes Sobol indices over the remaining parameters. This ensures "step" never appears in the output, making sensitivity plots more interpretable for users who care about parameter effects at final performance rather than across all training steps. Differential Revision: D90819468
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…ession 'step' (facebook#4777) Summary: This diff excludes the "step" feature (MAP_KEY) from sensitivity analysis plots by adding `exclude_map_key` and `target_step` parameters throughout the sensitivity computation. When `exclude_map_key=True` (the new default), the `ax_parameter_sens()` function fixes the step feature at the specified `target_step` value (or the maximum step if not provided) using a `FixedFeatureModel` wrapper, then computes Sobol indices over the remaining parameters. This ensures "step" never appears in the output, making sensitivity plots more interpretable for users who care about parameter effects at final performance rather than across all training steps. Differential Revision: D90819468
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Codecov Report❌ Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## main #4777 +/- ##
=======================================
Coverage 96.72% 96.72%
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Files 587 588 +1
Lines 61419 61516 +97
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+ Hits 59406 59501 +95
- Misses 2013 2015 +2 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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…ession 'step' (facebook#4777) Summary: Followup diff from D89385521 This diff excludes the "step" feature (MAP_KEY) from sensitivity analysis plots by adding `exclude_map_key` and `target_step` parameters throughout the sensitivity computation. When `exclude_map_key=True` (the new default), the `ax_parameter_sens()` function fixes the step feature at the specified `target_step` value (or the maximum step if not provided) using a `FixedFeatureModel` wrapper, then computes Sobol indices over the remaining parameters. This ensures "step" doesn't appear in the output by default, making sensitivity plots more interpretable for users who care about parameter effects at final performance rather than across all training steps (should be the most cases). But it also leaves the flexibility for users to set `exclude_map_key=False` if they're interested in the importance of 'step' for some reasons Differential Revision: D90819468
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…ession 'step' (facebook#4777) Summary: Followup diff from D89385521 This diff excludes the "step" feature (MAP_KEY) from sensitivity analysis plots by adding `exclude_map_key` and `target_step` parameters throughout the sensitivity computation. When `exclude_map_key=True` (the new default), the `ax_parameter_sens()` function fixes the step feature at the specified `target_step` value (or the maximum step if not provided) using a `FixedFeatureModel` wrapper, then computes Sobol indices over the remaining parameters. This ensures "step" doesn't appear in the output by default, making sensitivity plots more interpretable for users who care about parameter effects at final performance rather than across all training steps (should be the most cases). But it also leaves the flexibility for users to set `exclude_map_key=False` if they're interested in the importance of 'step' for some reasons Differential Revision: D90819468
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…ession 'step' (facebook#4777) Summary: Followup diff from D89385521 This diff excludes the "step" feature (MAP_KEY) from sensitivity analysis plots by adding `exclude_map_key` and `target_step` parameters throughout the sensitivity computation. When `exclude_map_key=True` (the new default), the `ax_parameter_sens()` function fixes the step feature at the specified `target_step` value (or the maximum step if not provided) using a `FixedFeatureModel` wrapper, then computes Sobol indices over the remaining parameters. This ensures "step" doesn't appear in the output by default, making sensitivity plots more interpretable for users who care about parameter effects at final performance rather than across all training steps (should be the most cases). But it also leaves the flexibility for users to set `exclude_map_key=False` if they're interested in the importance of 'step' for some reasons Reviewed By: saitcakmak Differential Revision: D90819468
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…ession 'step' (facebook#4777) Summary: Followup diff from D89385521 This diff excludes the "step" feature (MAP_KEY) from sensitivity analysis plots by adding `exclude_map_key` and `target_step` parameters throughout the sensitivity computation. When `exclude_map_key=True` (the new default), the `ax_parameter_sens()` function fixes the step feature at the specified `target_step` value (or the maximum step if not provided) using a `FixedFeatureModel` wrapper, then computes Sobol indices over the remaining parameters. This ensures "step" doesn't appear in the output by default, making sensitivity plots more interpretable for users who care about parameter effects at final performance rather than across all training steps (should be the most cases). But it also leaves the flexibility for users to set `exclude_map_key=False` if they're interested in the importance of 'step' for some reasons Reviewed By: saitcakmak Differential Revision: D90819468
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…ession 'step' (facebook#4777) Summary: Followup diff from D89385521 This diff excludes the "step" feature (MAP_KEY) from sensitivity analysis plots by adding `exclude_map_key` and `target_step` parameters throughout the sensitivity computation. When `exclude_map_key=True` (the new default), the `ax_parameter_sens()` function fixes the step feature at the specified `target_step` value (or the maximum step if not provided) using a `FixedFeatureModel` wrapper, then computes Sobol indices over the remaining parameters. This ensures "step" doesn't appear in the output by default, making sensitivity plots more interpretable for users who care about parameter effects at final performance rather than across all training steps (should be the most cases). But it also leaves the flexibility for users to set `exclude_map_key=False` if they're interested in the importance of 'step' for some reasons Reviewed By: saitcakmak Differential Revision: D90819468
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Summary:
This diff excludes the "step" feature (MAP_KEY) from sensitivity analysis plots by adding
exclude_map_keyandtarget_stepparameters throughout the sensitivity computation. Whenexclude_map_key=True(the new default), theax_parameter_sens()function fixes the step feature at the specifiedtarget_stepvalue (or the maximum step if not provided) using aFixedFeatureModelwrapper, then computes Sobol indices over the remaining parameters.This ensures "step" never appears in the output, making sensitivity plots more interpretable for users who care about parameter effects at final performance rather than across all training steps.
Differential Revision: D90819468