nlsq.diagnostics.ModelHealthReport¶
- class nlsq.diagnostics.ModelHealthReport(identifiability=None, gradient_health=None, sloppy_model=None, plugin_results=<factory>, status=HealthStatus.HEALTHY, health_score=1.0, all_issues=<factory>, config=None, computation_time_ms=0.0)[source]¶
Bases:
objectAggregated model health report with overall assessment.
This dataclass aggregates results from all diagnostic components (identifiability, gradient health, parameter sensitivity, and plugins) into a unified health report with overall status, health score, and actionable recommendations.
- identifiability¶
Results from identifiability analysis.
- Type:
IdentifiabilityReport | None
- gradient_health¶
Results from gradient health monitoring.
- Type:
GradientHealthReport | None
- sloppy_model¶
Results from parameter sensitivity analysis (level=FULL only).
- Type:
ParameterSensitivityReport | None
- plugin_results¶
Results from diagnostic plugins, keyed by plugin name.
- Type:
- status¶
Overall health status (HEALTHY, WARNING, or CRITICAL).
- Type:
- all_issues¶
Aggregated issues from all components, sorted by severity.
- Type:
- config¶
Configuration used for diagnostics.
- Type:
DiagnosticsConfig | None
Examples
>>> from nlsq.diagnostics.health_report import create_health_report >>> report = create_health_report( ... identifiability=healthy_ident_report, ... gradient_health=healthy_grad_report, ... ) >>> report.status <HealthStatus.HEALTHY: 1> >>> report.health_score 1.0
- identifiability: IdentifiabilityReport | None¶
- gradient_health: GradientHealthReport | None¶
- sloppy_model: ParameterSensitivityReport | None¶
- plugin_results: dict[str, PluginResult]¶
- status: HealthStatus¶
- all_issues: list[ModelHealthIssue]¶
- config: DiagnosticsConfig | None¶
- __init__(identifiability=None, gradient_health=None, sloppy_model=None, plugin_results=<factory>, status=HealthStatus.HEALTHY, health_score=1.0, all_issues=<factory>, config=None, computation_time_ms=0.0)¶