GoogleCloudMlV1TrainingInput class

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](/ai-platform/training/docs/training-jobs).

Constructors

GoogleCloudMlV1TrainingInput({List<String>? args, bool? enableWebAccess, GoogleCloudMlV1EncryptionConfig? encryptionConfig, GoogleCloudMlV1ReplicaConfig? evaluatorConfig, String? evaluatorCount, String? evaluatorType, GoogleCloudMlV1HyperparameterSpec? hyperparameters, String? jobDir, GoogleCloudMlV1ReplicaConfig? masterConfig, String? masterType, String? network, List<String>? packageUris, GoogleCloudMlV1ReplicaConfig? parameterServerConfig, String? parameterServerCount, String? parameterServerType, String? pythonModule, String? pythonVersion, String? region, String? runtimeVersion, String? scaleTier, GoogleCloudMlV1Scheduling? scheduling, String? serviceAccount, bool? useChiefInTfConfig, GoogleCloudMlV1ReplicaConfig? workerConfig, String? workerCount, String? workerType})
GoogleCloudMlV1TrainingInput.fromJson(Map json_)

Properties

args ↔ List<String>?
Command-line arguments passed to the training application when it starts.
getter/setter pair
enableWebAccess ↔ bool?
Whether you want AI Platform Training to enable interactive shell access to training containers.
getter/setter pair
encryptionConfig ↔ GoogleCloudMlV1EncryptionConfig?
Options for using customer-managed encryption keys (CMEK) to protect resources created by a training job, instead of using Google's default encryption.
getter/setter pair
evaluatorConfig ↔ GoogleCloudMlV1ReplicaConfig?
The configuration for evaluators.
getter/setter pair
evaluatorCount ↔ String?
The number of evaluator replicas to use for the training job.
getter/setter pair
evaluatorType ↔ String?
Specifies the type of virtual machine to use for your training job's evaluator nodes.
getter/setter pair
hashCode → int
The hash code for this object.
no setterinherited
hyperparameters ↔ GoogleCloudMlV1HyperparameterSpec?
The set of Hyperparameters to tune.
getter/setter pair
jobDir ↔ String?
A Google Cloud Storage path in which to store training outputs and other data needed for training.
getter/setter pair
masterConfig ↔ GoogleCloudMlV1ReplicaConfig?
The configuration for your master worker.
getter/setter pair
masterType ↔ String?
Specifies the type of virtual machine to use for your training job's master worker.
getter/setter pair
network ↔ String?
The full name of the [Compute Engine network](/vpc/docs/vpc) to which the Job is peered.
getter/setter pair
packageUris ↔ List<String>?
The Google Cloud Storage location of the packages with the training program and any additional dependencies.
getter/setter pair
parameterServerConfig ↔ GoogleCloudMlV1ReplicaConfig?
The configuration for parameter servers.
getter/setter pair
parameterServerCount ↔ String?
The number of parameter server replicas to use for the training job.
getter/setter pair
parameterServerType ↔ String?
Specifies the type of virtual machine to use for your training job's parameter server.
getter/setter pair
pythonModule ↔ String?
The Python module name to run after installing the packages.
getter/setter pair
pythonVersion ↔ String?
The version of Python used in training.
getter/setter pair
region ↔ String?
The region to run the training job in.
getter/setter pair
runtimeType → Type
A representation of the runtime type of the object.
no setterinherited
runtimeVersion ↔ String?
The AI Platform runtime version to use for training.
getter/setter pair
scaleTier ↔ String?
Specifies the machine types, the number of replicas for workers and parameter servers.
getter/setter pair
scheduling ↔ GoogleCloudMlV1Scheduling?
Scheduling options for a training job.
getter/setter pair
serviceAccount ↔ String?
The email address of a service account to use when running the training appplication.
getter/setter pair
useChiefInTfConfig ↔ bool?
Use chief instead of master in the TF_CONFIG environment variable when training with a custom container.
getter/setter pair
workerConfig ↔ GoogleCloudMlV1ReplicaConfig?
The configuration for workers.
getter/setter pair
workerCount ↔ String?
The number of worker replicas to use for the training job.
getter/setter pair
workerType ↔ String?
Specifies the type of virtual machine to use for your training job's worker nodes.
getter/setter pair

Methods

noSuchMethod(Invocation invocation) → dynamic
Invoked when a nonexistent method or property is accessed.
inherited
toJson() → Map<String, dynamic>
toString() → String
A string representation of this object.
inherited

Operators

operator ==(Object other) → bool
The equality operator.
inherited