googleapis.ml.v1 library

Classes

GoogleApiHttpBody
Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. [...]
GoogleCloudMlV1AcceleratorConfig
Represents a hardware accelerator request config.
GoogleCloudMlV1AutoScaling
Options for automatically scaling a model.
GoogleCloudMlV1CancelJobRequest
Request message for the CancelJob method.
GoogleCloudMlV1Capability
GoogleCloudMlV1Config
GoogleCloudMlV1GetConfigResponse
Returns service account information associated with a project.
GoogleCloudMlV1HyperparameterOutput
Represents the result of a single hyperparameter tuning trial from a training job. The TrainingOutput object that is returned on successful completion of a training job with hyperparameter tuning includes a list of HyperparameterOutput objects, one for each successful trial.
GoogleCloudMlV1HyperparameterOutputHyperparameterMetric
An observed value of a metric.
GoogleCloudMlV1HyperparameterSpec
Represents a set of hyperparameters to optimize.
GoogleCloudMlV1Job
Represents a training or prediction job.
GoogleCloudMlV1ListJobsResponse
Response message for the ListJobs method.
GoogleCloudMlV1ListLocationsResponse
GoogleCloudMlV1ListModelsResponse
Response message for the ListModels method.
GoogleCloudMlV1ListVersionsResponse
Response message for the ListVersions method.
GoogleCloudMlV1Location
GoogleCloudMlV1ManualScaling
Options for manually scaling a model.
GoogleCloudMlV1Model
Represents a machine learning solution. [...]
GoogleCloudMlV1OperationMetadata
Represents the metadata of the long-running operation.
GoogleCloudMlV1ParameterSpec
Represents a single hyperparameter to optimize.
GoogleCloudMlV1PredictionInput
Represents input parameters for a prediction job.
GoogleCloudMlV1PredictionOutput
Represents results of a prediction job.
GoogleCloudMlV1PredictRequest
Request for predictions to be issued against a trained model.
GoogleCloudMlV1SetDefaultVersionRequest
Request message for the SetDefaultVersion request.
GoogleCloudMlV1TrainingInput
Represents input parameters for a training job. When using the gcloud command to submit your training job, you can specify the input parameters as command-line arguments and/or in a YAML configuration file referenced from the --config command-line argument. For details, see the guide to submitting a training job.
GoogleCloudMlV1TrainingOutput
Represents results of a training job. Output only.
GoogleCloudMlV1Version
Represents a version of the model. [...]
GoogleIamV1AuditConfig
Specifies the audit configuration for a service. The configuration determines which permission types are logged, and what identities, if any, are exempted from logging. An AuditConfig must have one or more AuditLogConfigs. [...]
GoogleIamV1AuditLogConfig
Provides the configuration for logging a type of permissions. Example: [...]
GoogleIamV1Binding
Associates members with a role.
GoogleIamV1Policy
Defines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources. [...]
GoogleIamV1SetIamPolicyRequest
Request message for SetIamPolicy method.
GoogleIamV1TestIamPermissionsRequest
Request message for TestIamPermissions method.
GoogleIamV1TestIamPermissionsResponse
Response message for TestIamPermissions method.
GoogleLongrunningListOperationsResponse
The response message for Operations.ListOperations.
GoogleLongrunningOperation
This resource represents a long-running operation that is the result of a network API call.
GoogleProtobufEmpty
A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: [...]
GoogleRpcStatus
The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC. The error model is designed to be: [...]
GoogleTypeExpr
Represents an expression text. Example: [...]
MlApi
An API to enable creating and using machine learning models.
ProjectsJobsResourceApi
ProjectsLocationsResourceApi
ProjectsModelsResourceApi
ProjectsModelsVersionsResourceApi
ProjectsOperationsResourceApi
ProjectsResourceApi

Constants

USER_AGENT → const String
'dart-api-client ml/v1'

Exceptions / Errors

ApiRequestError
Represents a general error reported by the API endpoint.
DetailedApiRequestError
Represents a specific error reported by the API endpoint.