김경종
31 lines
1.0 KiB
JSON
31 lines
1.0 KiB
JSON
{
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"project": "FEMSurrogateTutorial",
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"phase": "2-dataset-and-surrogates",
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"steps": [
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{
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"step": 0,
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"name": "sampling-and-dataset",
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"status": "completed",
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"summary": "Added reproducible LHS sampling, BeamParameters/AnalysisResult schema, and Beam2D dataset builder using the in-repository solver."
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},
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{
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"step": 1,
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"name": "surrogate-common",
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"status": "completed",
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"summary": "Added reproducible dataset split helper, evaluation result dataclasses, regression metrics, fit/predict timing, and prediction table generation."
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},
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{
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"step": 2,
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"name": "surrogate-models",
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"status": "completed",
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"summary": "Added scikit-learn builders and registry for RSM, GPR, Random Forest, Gradient Boosting, and MLP models."
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},
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{
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"step": 3,
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"name": "plotting-and-results",
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"status": "completed",
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"summary": "Added parity and residual diagnostic plots, metrics table creation, and metric comparison plot helpers returning matplotlib figures."
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}
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]
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}
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