GoogleCloudAiplatformV1ModelEvaluationSlice

import type { GoogleCloudAiplatformV1ModelEvaluationSlice } from "https://googleapis.deno.dev/v1/aiplatform:v1.ts";

A collection of metrics calculated by comparing Model's predictions on a slice of the test data against ground truth annotations.

interface GoogleCloudAiplatformV1ModelEvaluationSlice {

readonly createTime?: Date;

readonly metrics?: any;

readonly metricsSchemaUri?: string;

readonly modelExplanation?: GoogleCloudAiplatformV1ModelExplanation;

readonly name?: string;

readonly slice?: GoogleCloudAiplatformV1ModelEvaluationSliceSlice;

}

§Properties

readonly createTime?: Date

[src]

Output only. Timestamp when this ModelEvaluationSlice was created.

readonly metrics?: any

[src]

Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri

readonly metricsSchemaUri?: string

[src]

Output only. Points to a YAML file stored on Google Cloud Storage describing the metrics of this ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2 Schema Object.

readonly modelExplanation?: GoogleCloudAiplatformV1ModelExplanation

[src]

Output only. Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for tabular Models.

readonly name?: string

[src]

Output only. The resource name of the ModelEvaluationSlice.

readonly slice?: GoogleCloudAiplatformV1ModelEvaluationSliceSlice

[src]

Output only. The slice of the test data that is used to evaluate the Model.