ModelBiasCheckConfig: Model Bias Check Config

ModelBiasCheckConfigR Documentation

Model Bias Check Config

Description

Model Bias Check Config

Model Bias Check Config

Super class

sagemaker.workflow::ClarifyCheckConfig -> ModelBiasCheckConfig

Public fields

data_bias_config

Config of sensitive groups

model_config

Config of the model and its endpoint to be created

model_predicted_label_config

Config of how to extract the predicted label from the model output

methods

Selector of a subset of potential metrics

Methods

Public methods

Inherited methods

Method new()

Initialize DataBiasCheckConfig class

Usage
ModelBiasCheckConfig$new(
  data_bias_config,
  model_config,
  model_predicted_label_config,
  methods = "all",
  ...
)
Arguments
data_bias_config

(BiasConfig): Config of sensitive groups.

model_config

(ModelConfig): Config of the model and its endpoint to be created.

model_predicted_label_config

(ModelPredictedLabelConfig): Config of how to extract the predicted label from the model output.

methods

(str or list[str]): Selector of a subset of potential metrics:

Defaults to computing all. This field CANNOT be any of PipelineNonPrimitiveInputTypes.

...

: Parameters from ClarifyCheckConfig


Method clone()

The objects of this class are cloneable with this method.

Usage
ModelBiasCheckConfig$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.


DyfanJones/sagemaker-r-workflow documentation built on April 3, 2022, 11:28 p.m.