GoogleCloudAiplatformV1Explanation
import type { GoogleCloudAiplatformV1Explanation } from "https://googleapis.deno.dev/v1/aiplatform:v1.ts";
Explanation of a prediction (provided in PredictResponse.predictions) produced by the Model on a given instance.
§Properties
Output only. Feature attributions grouped by predicted outputs. For Models
that predict only one output, such as regression Models that predict only
one score, there is only one attibution that explains the predicted output.
For Models that predict multiple outputs, such as multiclass Models that
predict multiple classes, each element explains one specific item.
Attribution.output_index can be used to identify which output this
attribution is explaining. By default, we provide Shapley values for the
predicted class. However, you can configure the explanation request to
generate Shapley values for any other classes too. For example, if a model
predicts a probability of 0.4
for approving a loan application, the
model's decision is to reject the application since p(reject) = 0.6 > p(approve) = 0.4
, and the default Shapley values would be computed for
rejection decision and not approval, even though the latter might be the
positive class. If users set ExplanationParameters.top_k, the attributions
are sorted by instance_output_value in descending order. If
ExplanationParameters.output_indices is specified, the attributions are
stored by Attribution.output_index in the same order as they appear in the
output_indices.
Output only. List of the nearest neighbors for example-based explanations. For models deployed with the examples explanations feature enabled, the attributions field is empty and instead the neighbors field is populated.