validmind.tests.model_validation.ModelMetadata

@tags('model_training', 'metadata')
@tasks('regression', 'time_series_forecasting')
def ModelMetadata(model):

Compare metadata of different models and generate a summary table with the results.

Purpose: The purpose of this function is to compare the metadata of different models, including information about their architecture, framework, framework version, and programming language.

Test Mechanism: The function retrieves the metadata for each model using get_model_info, renames columns according to a predefined set of labels, and compiles this information into a summary table.

Signs of High Risk:

  • Inconsistent or missing metadata across models can indicate potential issues in model documentation or management.
  • Significant differences in framework versions or programming languages might pose challenges in model integration and deployment.

Strengths:

  • Provides a clear comparison of essential model metadata.
  • Standardizes metadata labels for easier interpretation and comparison.
  • Helps identify potential compatibility or consistency issues across models.

Limitations:

  • Assumes that the get_model_info function returns all necessary metadata fields.
  • Relies on the correctness and completeness of the metadata provided by each model.
  • Does not include detailed parameter information, focusing instead on high-level metadata.