Help protect the Great Barrier Reef with TensorFlow on Kaggle Join Challenge

Module: model_card_toolkit

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.

version '0.1.3'