CreateAutoMLJobRequest
import type { CreateAutoMLJobRequest } from "https://aws-api.deno.dev/v0.3/services/sagemaker.ts?docs=full";
§Properties
Contains CompletionCriteria
and SecurityConfig
settings for the AutoML job.
Identifies an Autopilot job. The name must be unique to your account and is case-insensitive.
Defines the objective metric used to measure the predictive quality of an AutoML job. You provide an "AutoMLJobObjective$MetricName" and Autopilot infers whether to minimize or maximize it.
Generates possible candidates without training the models. A candidate is a combination of data preprocessors, algorithms, and algorithm parameter settings.
An array of channel objects that describes the input data and its location.
Each channel is a named input source.
Similar to InputDataConfig
supported by .
Format(s) supported: CSV.
Minimum of 500 rows.
Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
Provides information about encryption and the Amazon S3 output path needed to store artifacts from an AutoML job. Format(s) supported: CSV.
Defines the type of supervised learning available for the candidates.
Options include: BinaryClassification
, MulticlassClassification
, and Regression
.
For more information, see Amazon SageMaker Autopilot problem types and algorithm support.