GoogleCloudMlV1ExplanationConfig class

Message holding configuration options for explaining model predictions. There are three feature attribution methods supported for TensorFlow models: integrated gradients, sampled Shapley, and XRAI. Learn more about feature attributions.

Constructors

GoogleCloudMlV1ExplanationConfig()
GoogleCloudMlV1ExplanationConfig.fromJson(Map _json)

Properties

hashCode int
The hash code for this object. [...]
read-only, inherited
integratedGradientsAttribution GoogleCloudMlV1IntegratedGradientsAttribution
Attributes credit by computing the Aumann-Shapley value taking advantage of the model's fully differentiable structure. Refer to this paper for more details: https://arxiv.org/abs/1703.01365
read / write
runtimeType Type
A representation of the runtime type of the object.
read-only, inherited
sampledShapleyAttribution GoogleCloudMlV1SampledShapleyAttribution
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.
read / write
xraiAttribution GoogleCloudMlV1XraiAttribution
Attributes credit by computing the XRAI taking advantage of the model's fully differentiable structure. Refer to this paper for more details: https://arxiv.org/abs/1906.02825 Currently only implemented for models with natural image inputs.
read / write

Methods

noSuchMethod(Invocation invocation) → dynamic
Invoked when a non-existent method or property is accessed. [...]
inherited
toJson() Map<String, Object>
toString() String
Returns a string representation of this object.
inherited

Operators

operator ==(Object other) bool
The equality operator. [...]
inherited