ml  v1
Classes
Google.Apis.CloudMachineLearningEngine.v1.Data Namespace Reference

Classes

class  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. More...
 
class  GoogleCloudMlV1AcceleratorConfig
 Represents a hardware accelerator request config. Note that the AcceleratorConfig can be used in both Jobs and Versions. Learn more about accelerators for training and accelerators for online prediction. More...
 
class  GoogleCloudMlV1AddTrialMeasurementRequest
 The request message for the AddTrialMeasurement service method. More...
 
class  GoogleCloudMlV1AutomatedStoppingConfig
 Configuration for Automated Early Stopping of Trials. If no implementation_config is set, automated early stopping will not be run. More...
 
class  GoogleCloudMlV1AutomatedStoppingConfigDecayCurveAutomatedStoppingConfig
 
class  GoogleCloudMlV1AutomatedStoppingConfigMedianAutomatedStoppingConfig
 The median automated stopping rule stops a pending trial if the trial's best objective_value is strictly below the median 'performance' of all completed trials reported up to the trial's last measurement. Currently, 'performance' refers to the running average of the objective values reported by the trial in each measurement. More...
 
class  GoogleCloudMlV1AutoScaling
 Options for automatically scaling a model. More...
 
class  GoogleCloudMlV1BuiltInAlgorithmOutput
 Represents output related to a built-in algorithm Job. More...
 
class  GoogleCloudMlV1CancelJobRequest
 Request message for the CancelJob method. More...
 
class  GoogleCloudMlV1Capability
 
class  GoogleCloudMlV1CheckTrialEarlyStoppingStateMetatdata
 This message will be placed in the metadata field of a google.longrunning.Operation associated with a CheckTrialEarlyStoppingState request. More...
 
class  GoogleCloudMlV1CheckTrialEarlyStoppingStateRequest
 The request message for the CheckTrialEarlyStoppingState service method. More...
 
class  GoogleCloudMlV1CheckTrialEarlyStoppingStateResponse
 The message will be placed in the response field of a completed google.longrunning.Operation associated with a CheckTrialEarlyStoppingState request. More...
 
class  GoogleCloudMlV1CompleteTrialRequest
 The request message for the CompleteTrial service method. More...
 
class  GoogleCloudMlV1Config
 
class  GoogleCloudMlV1EncryptionConfig
 Represents a custom encryption key configuration that can be applied to a resource. More...
 
class  GoogleCloudMlV1ExplainRequest
 Request for explanations to be issued against a trained model. More...
 
class  GoogleCloudMlV1ExplanationConfig
 Message holding configuration options for explaining model predictions. There are two feature attribution methods supported for TensorFlow models: integrated gradients and sampled Shapley. Learn more about feature attributions. More...
 
class  GoogleCloudMlV1GetConfigResponse
 Returns service account information associated with a project. More...
 
class  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. More...
 
class  GoogleCloudMlV1HyperparameterOutputHyperparameterMetric
 An observed value of a metric. More...
 
class  GoogleCloudMlV1HyperparameterSpec
 Represents a set of hyperparameters to optimize. More...
 
class  GoogleCloudMlV1IntegratedGradientsAttribution
 Attributes credit by computing the Aumann-Shapley value taking advantage of the model's fully differentiable structure. Refer to this paper for more details: http://proceedings.mlr.press/v70/sundararajan17a.html More...
 
class  GoogleCloudMlV1Job
 Represents a training or prediction job. More...
 
class  GoogleCloudMlV1ListJobsResponse
 Response message for the ListJobs method. More...
 
class  GoogleCloudMlV1ListLocationsResponse
 
class  GoogleCloudMlV1ListModelsResponse
 Response message for the ListModels method. More...
 
class  GoogleCloudMlV1ListStudiesResponse
 
class  GoogleCloudMlV1ListTrialsResponse
 The response message for the ListTrials method. More...
 
class  GoogleCloudMlV1ListVersionsResponse
 Response message for the ListVersions method. More...
 
class  GoogleCloudMlV1Location
 
class  GoogleCloudMlV1ManualScaling
 Options for manually scaling a model. More...
 
class  GoogleCloudMlV1Measurement
 A message representing a Measurement. More...
 
class  GoogleCloudMlV1MeasurementMetric
 A message representing a metric in the measurement. More...
 
class  GoogleCloudMlV1Model
 Represents a machine learning solution. More...
 
class  GoogleCloudMlV1OperationMetadata
 Represents the metadata of the long-running operation. More...
 
class  GoogleCloudMlV1ParameterSpec
 Represents a single hyperparameter to optimize. More...
 
class  GoogleCloudMlV1PredictionInput
 Represents input parameters for a prediction job. More...
 
class  GoogleCloudMlV1PredictionOutput
 Represents results of a prediction job. More...
 
class  GoogleCloudMlV1PredictRequest
 Request for predictions to be issued against a trained model. More...
 
class  GoogleCloudMlV1ReplicaConfig
 Represents the configuration for a replica in a cluster. More...
 
class  GoogleCloudMlV1RequestLoggingConfig
 Configuration for logging request-response pairs to a BigQuery table. Online prediction requests to a model version and the responses to these requests are converted to raw strings and saved to the specified BigQuery table. Logging is constrained by BigQuery quotas and limits. If your project exceeds BigQuery quotas or limits, AI Platform Prediction does not log request-response pairs, but it continues to serve predictions. More...
 
class  GoogleCloudMlV1SampledShapleyAttribution
 An attribution method that approximates Shapley values for features that contribute to the label being predicted. A sampling strategy is used to approximate the value rather than considering all subsets of features. More...
 
class  GoogleCloudMlV1Scheduling
 All parameters related to scheduling of training jobs. More...
 
class  GoogleCloudMlV1SetDefaultVersionRequest
 Request message for the SetDefaultVersion request. More...
 
class  GoogleCloudMlV1StopTrialRequest
 
class  GoogleCloudMlV1Study
 A message representing a Study. More...
 
class  GoogleCloudMlV1StudyConfig
 Represents configuration of a study. More...
 
class  GoogleCloudMlV1StudyConfigMetricSpec
 Represents a metric to optimize. More...
 
class  GoogleCloudMlV1StudyConfigParameterSpec
 Represents a single parameter to optimize. More...
 
class  GoogleCloudMlV1StudyConfigParameterSpecCategoricalValueSpec
 
class  GoogleCloudMlV1StudyConfigParameterSpecDiscreteValueSpec
 
class  GoogleCloudMlV1StudyConfigParameterSpecDoubleValueSpec
 
class  GoogleCloudMlV1StudyConfigParameterSpecIntegerValueSpec
 
class  GoogleCloudMlV1StudyConfigParameterSpecMatchingParentCategoricalValueSpec
 Represents the spec to match categorical values from parent parameter. More...
 
class  GoogleCloudMlV1StudyConfigParameterSpecMatchingParentDiscreteValueSpec
 Represents the spec to match discrete values from parent parameter. More...
 
class  GoogleCloudMlV1StudyConfigParameterSpecMatchingParentIntValueSpec
 Represents the spec to match integer values from parent parameter. More...
 
class  GoogleCloudMlV1SuggestTrialsMetadata
 Metadata field of a google.longrunning.Operation associated with a SuggestTrialsRequest. More...
 
class  GoogleCloudMlV1SuggestTrialsRequest
 The request message for the SuggestTrial service method. More...
 
class  GoogleCloudMlV1SuggestTrialsResponse
 This message will be placed in the response field of a completed google.longrunning.Operation associated with a SuggestTrials request. More...
 
class  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. More...
 
class  GoogleCloudMlV1TrainingOutput
 Represents results of a training job. Output only. More...
 
class  GoogleCloudMlV1Trial
 A message representing a Trial. More...
 
class  GoogleCloudMlV1TrialParameter
 A message representing a parameter to be tuned. More...
 
class  GoogleCloudMlV1Version
 Represents a version of the model. More...
 
class  GoogleCloudMlV1XraiAttribution
 Attributes credit by computing the XRAI taking advantage of the model's fully differentiable structure. Refer to this paper for more details: https://arxiv.org/abs/1906.02825 Currently only implemented for models with natural image inputs. More...
 
class  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. More...
 
class  GoogleIamV1AuditLogConfig
 Provides the configuration for logging a type of permissions. Example: More...
 
class  GoogleIamV1Binding
 Associates members with a role. More...
 
class  GoogleIamV1Policy
 An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources. More...
 
class  GoogleIamV1SetIamPolicyRequest
 Request message for SetIamPolicy method. More...
 
class  GoogleIamV1TestIamPermissionsRequest
 Request message for TestIamPermissions method. More...
 
class  GoogleIamV1TestIamPermissionsResponse
 Response message for TestIamPermissions method. More...
 
class  GoogleLongrunningListOperationsResponse
 The response message for Operations.ListOperations. More...
 
class  GoogleLongrunningOperation
 This resource represents a long-running operation that is the result of a network API call. More...
 
class  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: More...
 
class  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. Each Status message contains three pieces of data: error code, error message, and error details. More...
 
class  GoogleTypeExpr
 Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. More...