Type Alias ModelCard_ModelParameters

Type declaration

• Optionalapproach?: ModelCard_ModelParameters_Approach

  The overall approach to learning used by the model for problem-solving.

  Generated

  from field: optional cyclonedx.v1_6.ModelCard.ModelParameters.Approach approach = 1;

• OptionalarchitectureFamily?: string

  The model architecture family such as transformer network, convolutional neural network, residual neural network, LSTM neural network, etc.

  Generated

  from field: optional string architectureFamily = 3;

• datasets: ModelCard_ModelParameters_Datasets[]

  The datasets used to train and evaluate the model.

  Generated

  from field: repeated cyclonedx.v1_6.ModelCard.ModelParameters.Datasets datasets = 5;

• inputs: ModelCard_ModelParameters_MachineLearningInputOutputParameters[]

  The input format(s) of the model

  Generated

  from field: repeated cyclonedx.v1_6.ModelCard.ModelParameters.MachineLearningInputOutputParameters inputs = 6;

• OptionalmodelArchitecture?: string

  The specific architecture of the model, such as GPT-1, ResNet-50, YOLOv3, etc.

  Generated

  from field: optional string modelArchitecture = 4;

• outputs: ModelCard_ModelParameters_MachineLearningInputOutputParameters[]

  The output format(s) from the model

  Generated

  from field: repeated cyclonedx.v1_6.ModelCard.ModelParameters.MachineLearningInputOutputParameters outputs = 7;

• Optionaltask?: string

  Directly influences the input and/or output. Examples include classification, regression, clustering, etc.

  Generated

  from field: optional string task = 2;