ModelMetricsComputation

Model metrics computation step for comprehensive performance evaluation

SageMaker step type	Processing
Node type	internal (consumes upstream, produces downstream)
Container entry point	model_metrics_computation.py
Interface file	steps/interfaces/model_metrics_computation.step.yaml

Compute

Compute kind	sklearn

Functionality

Model metrics computation script. Loads prediction data, computes comprehensive performance metrics, generates visualizations and detailed reports.

Inputs (dependencies)

Input	Type	Required	Compatible producers
eval_output	processing_output	yes	XGBoostModelInference, XGBoostModelEval, LightGBMMTModelInference, LightGBMModelInference, PyTorchModelInference, TabularPreprocessing, CradleDataLoading, RiskTableMapping, CurrencyConversion

Outputs

Output	Type
metrics_output	processing_output
plots_output	processing_output

Consumers (downstream steps)

Steps that declare this step as a compatible input source:

• ModelWikiGenerator

Framework requirements

Package	Version
pandas	>=1.3.0
numpy	>=1.21.0
scikit-learn	>=1.0.0
matplotlib	>=3.5.0

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