Entropy of observations metric #2340
Closed
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
facebook-github-bot
added
the
CLA Signed
|
This pull request was exported from Phabricator. Differential Revision: D55930954 |
SebastianAment
added a commit
to SebastianAment/Ax
that referenced
this pull request
Apr 9, 2024
Summary: This commit introduces `entropy_of_observations` as a model fit metric. It quantifies the entropy of the outcomes `y_obs` using a kernel density estimator. This metric can be useful in detecting datasets in which the outcomes are clustered (implying a low entropy), rather than uniformly distributed in the outcome space (high entropy). Differential Revision: D55930954
SebastianAment
force-pushed
the
export-D55930954
branch
from
fb5c3eb
to
c5c4f3a
Compare
|
This pull request was exported from Phabricator. Differential Revision: D55930954 |
SebastianAment
added a commit
to SebastianAment/Ax
that referenced
this pull request
Apr 9, 2024
Summary: This commit introduces `entropy_of_observations` as a model fit metric. It quantifies the entropy of the outcomes `y_obs` using a kernel density estimator. This metric can be useful in detecting datasets in which the outcomes are clustered (implying a low entropy), rather than uniformly distributed in the outcome space (high entropy). Differential Revision: D55930954
SebastianAment
force-pushed
the
export-D55930954
branch
from
c5c4f3a
to
7b8dd51
Compare
|
This pull request was exported from Phabricator. Differential Revision: D55930954 |
SebastianAment
added a commit
to SebastianAment/Ax
that referenced
this pull request
Apr 9, 2024
Summary: This commit introduces `entropy_of_observations` as a model fit metric. It quantifies the entropy of the outcomes `y_obs` using a kernel density estimator. This metric can be useful in detecting datasets in which the outcomes are clustered (implying a low entropy), rather than uniformly distributed in the outcome space (high entropy). Differential Revision: D55930954
SebastianAment
force-pushed
the
export-D55930954
branch
from
7b8dd51
to
9c3e433
Compare
|
This pull request was exported from Phabricator. Differential Revision: D55930954 |
SebastianAment
added a commit
to SebastianAment/Ax
that referenced
this pull request
Apr 9, 2024
Summary: This commit introduces `entropy_of_observations` as a model fit metric. It quantifies the entropy of the outcomes `y_obs` using a kernel density estimator. This metric can be useful in detecting datasets in which the outcomes are clustered (implying a low entropy), rather than uniformly distributed in the outcome space (high entropy). Differential Revision: D55930954
SebastianAment
force-pushed
the
export-D55930954
branch
from
9c3e433
to
932aba2
Compare
|
This pull request was exported from Phabricator. Differential Revision: D55930954 |
SebastianAment
added a commit
to SebastianAment/Ax
that referenced
this pull request
Apr 12, 2024
Summary: This commit introduces `entropy_of_observations` as a model fit metric. It quantifies the entropy of the outcomes `y_obs` using a kernel density estimator. This metric can be useful in detecting datasets in which the outcomes are clustered (implying a low entropy), rather than uniformly distributed in the outcome space (high entropy). Differential Revision: D55930954
SebastianAment
force-pushed
the
export-D55930954
branch
from
932aba2
to
629f0d5
Compare
|
This pull request was exported from Phabricator. Differential Revision: D55930954 |
SebastianAment
added a commit
to SebastianAment/Ax
that referenced
this pull request
Apr 12, 2024
Summary: This commit introduces `entropy_of_observations` as a model fit metric. It quantifies the entropy of the outcomes `y_obs` using a kernel density estimator. This metric can be useful in detecting datasets in which the outcomes are clustered (implying a low entropy), rather than uniformly distributed in the outcome space (high entropy). Differential Revision: D55930954
SebastianAment
force-pushed
the
export-D55930954
branch
from
629f0d5
to
d89ff88
Compare
|
This pull request was exported from Phabricator. Differential Revision: D55930954 |
SebastianAment
added a commit
to SebastianAment/Ax
that referenced
this pull request
Apr 13, 2024
Summary: This commit introduces `entropy_of_observations` as a model fit metric. It quantifies the entropy of the outcomes `y_obs` using a kernel density estimator. This metric can be useful in detecting datasets in which the outcomes are clustered (implying a low entropy), rather than uniformly distributed in the outcome space (high entropy). Differential Revision: D55930954
SebastianAment
force-pushed
the
export-D55930954
branch
from
d89ff88
to
ae8f06b
Compare
|
This pull request was exported from Phabricator. Differential Revision: D55930954 |
SebastianAment
added a commit
to SebastianAment/Ax
that referenced
this pull request
Apr 13, 2024
Summary: This commit introduces `entropy_of_observations` as a model fit metric. It quantifies the entropy of the outcomes `y_obs` using a kernel density estimator. This metric can be useful in detecting datasets in which the outcomes are clustered (implying a low entropy), rather than uniformly distributed in the outcome space (high entropy). Differential Revision: D55930954
SebastianAment
force-pushed
the
export-D55930954
branch
from
ae8f06b
to
07114b9
Compare
|
This pull request was exported from Phabricator. Differential Revision: D55930954 |
1 similar comment
|
This pull request was exported from Phabricator. Differential Revision: D55930954 |
Summary: This commit introduces `entropy_of_observations` as a model fit metric. It quantifies the entropy of the outcomes `y_obs` using a kernel density estimator. This metric can be useful in detecting datasets in which the outcomes are clustered (implying a low entropy), rather than uniformly distributed in the outcome space (high entropy). Reviewed By: saitcakmak Differential Revision: D55930954
SebastianAment
force-pushed
the
export-D55930954
branch
from
07114b9
to
ac177f5
Compare
|
This pull request was exported from Phabricator. Differential Revision: D55930954 |
|
This pull request has been merged in cefe7bf. |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Summary: This commit introduces
entropy_of_observationsas a model fit metric. It quantifies the entropy of the outcomesy_obsusing a kernel density estimator. This metric can be useful in detecting datasets in which the outcomes are clustered (implying a low entropy), rather than uniformly distributed in the outcome space (high entropy).Differential Revision: D55930954