Enum googapis::google::cloud::aiplatform::v1::explanation_parameters::Method[][src]

pub enum Method {
    SampledShapleyAttribution(SampledShapleyAttribution),
    IntegratedGradientsAttribution(IntegratedGradientsAttribution),
    XraiAttribution(XraiAttribution),
}

Variants

SampledShapleyAttribution(SampledShapleyAttribution)

An attribution method that approximates Shapley values for features that contribute to the label being predicted. A sampling strategy is used to approximate the value rather than considering all subsets of features. Refer to this paper for model details: https://arxiv.org/abs/1306.4265.

Tuple Fields of SampledShapleyAttribution

0: SampledShapleyAttribution
IntegratedGradientsAttribution(IntegratedGradientsAttribution)

An attribution method that computes Aumann-Shapley values taking advantage of the model’s fully differentiable structure. Refer to this paper for more details: https://arxiv.org/abs/1703.01365

Tuple Fields of IntegratedGradientsAttribution

0: IntegratedGradientsAttribution
XraiAttribution(XraiAttribution)

An attribution method that redistributes Integrated Gradients attribution to segmented regions, taking advantage of the model’s fully differentiable structure. Refer to this paper for more details: https://arxiv.org/abs/1906.02825

XRAI currently performs better on natural images, like a picture of a house or an animal. If the images are taken in artificial environments, like a lab or manufacturing line, or from diagnostic equipment, like x-rays or quality-control cameras, use Integrated Gradients instead.

Tuple Fields of XraiAttribution

0: XraiAttribution

Implementations

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