initial commit FESurrogateModelTutorial

This commit is contained in:
김경종
2026-05-21 17:03:51 +09:00
parent 93665d9ee6
commit 43b86669fa
122 changed files with 7929 additions and 0 deletions
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{
"project": "FEMSurrogateTutorial",
"phase": "2-dataset-and-surrogates",
"steps": [
{
"step": 0,
"name": "sampling-and-dataset",
"status": "completed",
"summary": "Added reproducible LHS sampling, BeamParameters/AnalysisResult schema, and Beam2D dataset builder using the in-repository solver."
},
{
"step": 1,
"name": "surrogate-common",
"status": "completed",
"summary": "Added reproducible dataset split helper, evaluation result dataclasses, regression metrics, fit/predict timing, and prediction table generation."
},
{
"step": 2,
"name": "surrogate-models",
"status": "completed",
"summary": "Added scikit-learn builders and registry for RSM, GPR, Random Forest, Gradient Boosting, and MLP models."
},
{
"step": 3,
"name": "plotting-and-results",
"status": "completed",
"summary": "Added parity and residual diagnostic plots, metrics table creation, and metric comparison plot helpers returning matplotlib figures."
}
]
}