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add support for fixed parameters #457

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Summary: Add support for fixed parameters. These parameters are just set in the config and will be removed before any model or generator is aware of them (then added back in whenever a model or generator is asked for an output.

Differential Revision: D66012863

@facebook-github-bot facebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Nov 15, 2024
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This pull request was exported from Phabricator. Differential Revision: D66012863

JasonKChow added a commit to JasonKChow/aepsych that referenced this pull request Nov 15, 2024
Summary:
Pull Request resolved: facebookresearch#457

Add support for fixed parameters. These parameters are just set in the config and will be removed before any model or generator is aware of them (then added back in whenever a model or generator is asked for an output.

Differential Revision: D66012863
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This pull request was exported from Phabricator. Differential Revision: D66012863

JasonKChow added a commit to JasonKChow/aepsych that referenced this pull request Nov 18, 2024
Summary:
Pull Request resolved: facebookresearch#457

Add support for fixed parameters. These parameters are just set in the config and will be removed before any model or generator is aware of them (then added back in whenever a model or generator is asked for an output.

Differential Revision: D66012863
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This pull request was exported from Phabricator. Differential Revision: D66012863

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This pull request was exported from Phabricator. Differential Revision: D66012863

JasonKChow added a commit to JasonKChow/aepsych that referenced this pull request Nov 19, 2024
Summary:
Pull Request resolved: facebookresearch#457

Add support for fixed parameters. These parameters are just set in the config and will be removed before any model or generator is aware of them (then added back in whenever a model or generator is asked for an output.

Differential Revision: D66012863
Summary:
Pull Request resolved: facebookresearch#445

Discrete parameter support added via rounding transform.

Differential Revision: D65699942
…okresearch#452)

Summary:
Pull Request resolved: facebookresearch#452

Transforming bounds requires additional logic that used to be part of ParameterTransforms, we move these to the parameters itself and have the ParameterTransforms look for these special methods when transforming bounds.

We add a new ABC for our transforms as going forward it is likely that all of our transforms will have unique capabilities over the BoTorch base.

Differential Revision: D65897908
JasonKChow added a commit to JasonKChow/aepsych that referenced this pull request Nov 20, 2024
Summary:
Pull Request resolved: facebookresearch#457

Add support for fixed parameters. These parameters are just set in the config and will be removed before any model or generator is aware of them (then added back in whenever a model or generator is asked for an output.

Reviewed By: crasanders

Differential Revision: D66012863
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This pull request was exported from Phabricator. Differential Revision: D66012863

JasonKChow and others added 4 commits November 20, 2024 09:31
Summary:
parameters.py was getting too big. Transforms themselves were moved to ops.py, leaving the base class and wrapper classes in parameters.py. Generic utility function that could be used elsewhere moved to base utils.py

New parameter handling overwrites old ax support, so we remove ax related functions/tests

Differential Revision: D65898366
… tensors

Summary: This removes the numpy dependency from the manual generators and changes the logic slightly so that we can support higher dimensional tensors of points, allowing us to support pairwise experiments

Differential Revision: D64607853
Summary: Binary parameters are just secretly discrete parameters bounded at [0, 1].  Config will accept binary as a par_type and do the necessary work to support it in modeling.

Differential Revision: D65954134
Summary:
Add new parameter error that only is ever raised in config to allow meaningful error handling when parameter options aren't set correctly.

ValueError for missing bounds/parameter names is still there to handle fallbacks but incorrectly set options will throw the new error.

Differential Revision: D65957107
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This pull request was exported from Phabricator. Differential Revision: D66012863

JasonKChow added a commit to JasonKChow/aepsych that referenced this pull request Nov 20, 2024
Summary:
Pull Request resolved: facebookresearch#457

Add support for fixed parameters. These parameters are just set in the config and will be removed before any model or generator is aware of them (then added back in whenever a model or generator is asked for an output.

Reviewed By: crasanders

Differential Revision: D66012863
Summary:
Pull Request resolved: facebookresearch#457

Add support for fixed parameters. These parameters are just set in the config and will be removed before any model or generator is aware of them (then added back in whenever a model or generator is asked for an output.

Reviewed By: crasanders

Differential Revision: D66012863
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This pull request was exported from Phabricator. Differential Revision: D66012863

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This pull request has been merged in deb8ce1.

JasonKChow added a commit that referenced this pull request Nov 25, 2024
Summary:
Pull Request resolved: #457

Add support for fixed parameters. These parameters are just set in the config and will be removed before any model or generator is aware of them (then added back in whenever a model or generator is asked for an output.

Reviewed By: crasanders

Differential Revision: D66012863

fbshipit-source-id: 9d5720b2f3acaf547c18269d762808dccc7a3383
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3 participants