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Summary: Adds configurable model_fit_threshold parameter to OverviewAnalysis for customizing the PredictableMetricsAnalysis healthcheck threshold.

Differential Revision:
D89793977

Privacy Context Container: L1307644

@meta-cla meta-cla bot added the CLA Signed Do not delete this pull request or issue due to inactivity. label Dec 26, 2025
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meta-codesync bot commented Dec 26, 2025

@shrutipatel31 has exported this pull request. If you are a Meta employee, you can view the originating Diff in D89793977.

shrutipatel31 added a commit to shrutipatel31/Ax that referenced this pull request Dec 26, 2025
Summary:

Adds configurable model_fit_threshold parameter to OverviewAnalysis for customizing the PredictableMetricsAnalysis healthcheck threshold.

Differential Revision:
D89793977

Privacy Context Container: L1307644
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codecov-commenter commented Dec 26, 2025

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 96.70%. Comparing base (64570ba) to head (5a14e48).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files
@@           Coverage Diff           @@
##             main    #4711   +/-   ##
=======================================
  Coverage   96.69%   96.70%           
=======================================
  Files         580      580           
  Lines       60697    60731   +34     
=======================================
+ Hits        58692    58730   +38     
+ Misses       2005     2001    -4     

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shrutipatel31 added a commit to shrutipatel31/Ax that referenced this pull request Dec 26, 2025
Summary:

Adds configurable model_fit_threshold parameter to OverviewAnalysis for customizing the PredictableMetricsAnalysis healthcheck threshold.

Differential Revision:
D89793977

Privacy Context Container: L1307644
shrutipatel31 added a commit to shrutipatel31/Ax that referenced this pull request Dec 26, 2025
Summary:

Adds configurable model_fit_threshold parameter to OverviewAnalysis for customizing the PredictableMetricsAnalysis healthcheck threshold.

Differential Revision:
D89793977

Privacy Context Container: L1307644
shrutipatel31 added a commit to shrutipatel31/Ax that referenced this pull request Dec 26, 2025
Summary:

Adds configurable model_fit_threshold parameter to OverviewAnalysis for customizing the PredictableMetricsAnalysis healthcheck threshold.

Differential Revision:
D89793977

Privacy Context Container: L1307644
shrutipatel31 added a commit to shrutipatel31/Ax that referenced this pull request Dec 26, 2025
Summary:

Adds configurable model_fit_threshold parameter to OverviewAnalysis for customizing the PredictableMetricsAnalysis healthcheck threshold.

Reviewed By: bernardbeckerman

Differential Revision:
D89793977

Privacy Context Container: L1307644
shrutipatel31 added a commit to shrutipatel31/Ax that referenced this pull request Dec 26, 2025
Summary:

Adds configurable model_fit_threshold parameter to OverviewAnalysis for customizing the PredictableMetricsAnalysis healthcheck threshold.

Reviewed By: bernardbeckerman

Differential Revision:
D89793977

Privacy Context Container: L1307644
shrutipatel31 added a commit to shrutipatel31/Ax that referenced this pull request Dec 26, 2025
Summary:

Adds configurable model_fit_threshold parameter to OverviewAnalysis for customizing the PredictableMetricsAnalysis healthcheck threshold.

Reviewed By: bernardbeckerman

Differential Revision:
D89793977

Privacy Context Container: L1307644
Summary:

When `ResultsAnalysis` creates scatter plots for multi-objective optimization (MOO) experiments, the Pareto frontier line is not currently being displayed.

This diff enables the Pareto frontier visualization by passing `show_pareto_frontier=True` to `ScatterPlot` when creating scatter plots for objective pairs in MOO experiments. The Pareto frontier is rendered as a dashed gold line connecting the non-dominated points, helping users identify the set of optimal solutions.

Reviewed By: lena-kashtelyan

Differential Revision:
D89775987

Privacy Context Container: L1307644
…acebook#4705)

Summary:

This diff adds learning curve visualization (progression plots) to ResultsAnalysis for experiments with MapData and MapMetrics.

Reviewed By: lena-kashtelyan

Differential Revision:
D89776181

Privacy Context Container: L1307644
Summary:

Enable ComplexityRatingAnalysis in OverviewAnalysis.

Reviewed By: lena-kashtelyan

Differential Revision:
D89778765

Privacy Context Container: L1307644
Summary:

Adds configurable model_fit_threshold parameter to OverviewAnalysis for customizing the PredictableMetricsAnalysis healthcheck threshold.

Reviewed By: bernardbeckerman

Differential Revision:
D89793977

Privacy Context Container: L1307644
shrutipatel31 added a commit to shrutipatel31/Ax that referenced this pull request Dec 27, 2025
Summary:

Adds configurable model_fit_threshold parameter to OverviewAnalysis for customizing the PredictableMetricsAnalysis healthcheck threshold.

Reviewed By: bernardbeckerman

Differential Revision:
D89793977

Privacy Context Container: L1307644
shrutipatel31 added a commit to shrutipatel31/Ax that referenced this pull request Dec 27, 2025
Summary:

Adds configurable model_fit_threshold parameter to OverviewAnalysis for customizing the PredictableMetricsAnalysis healthcheck threshold.

Reviewed By: bernardbeckerman

Differential Revision:
D89793977

Privacy Context Container: L1307644
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