ModelQualityCheckConfig: ModelQualityCheckConfig Class

In DyfanJones/sagemaker-r-workflow: sagemaker pipeline and workflows

ModelQualityCheckConfig Class

Description

Model Quality Check Config.

Super class

sagemaker.workflow::QualityCheckConfig -> ModelQualityCheckConfig

Public fields

problem_type

(str or PipelineNonPrimitiveInputTypes): The type of problem of this model quality monitoring. Valid values are "Regression", "BinaryClassification", "MulticlassClassification".

inference_attribute

(str or PipelineNonPrimitiveInputTypes): Index or JSONpath to locate predicted label(s) (default: None).

probability_attribute

(str or PipelineNonPrimitiveInputTypes): Index or JSONpath to locate probabilities (default: None).

ground_truth_attribute

(str or PipelineNonPrimitiveInputTypes: Index or JSONpath to locate actual label(s) (default: None).

probability_threshold_attribute

(str or PipelineNonPrimitiveInputTypes): Threshold to convert probabilities to binaries (default: None).

Methods

Public methods

• ModelQualityCheckConfig$clone()

Inherited methods

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Method clone()

The objects of this class are cloneable with this method.

Usage

ModelQualityCheckConfig$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.