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A module to streamline and automate generation of Model Cards.
class ConfidenceInterval: The confidence interval of the metric.
class Considerations: Considerations related to model construction, training, and application.
class Data: The related datasets used to train and evaluate the model.
class Dataset: Provide some information about a dataset used to generate a model.
class Graphic: A named inline plot.
class Graphics: A collection of graphics.
class ModelCard: Fields used to generate the Model Card.
class ModelCardToolkit: ModelCardToolkit provides utilities to generate a ModelCard.
class ModelDetails: This section provides a general, high-level description of the model.
class ModelParameters: Parameters for construction of the model.
class Owner: The information about owners of a model.
class PerformanceMetric: The details of the performance metric.
class QuantitativeAnalysis: The quantitative analysis of a model.
class Risk: Information about risks involved when using the model.
class Version: The information about verions of a model.