TrainingJobAnalytics: TrainingJobAnalytics Class

In DyfanJones/sagemaker-r-common: R6sagemaker lower level api calls

TrainingJobAnalytics Class

Description

Fetch training curve data from CloudWatch Metrics for a specific training job.

Super class

sagemaker.common::AnalyticsMetricsBase -> TrainingJobAnalytics

Public fields

CLOUDWATCH_NAMESPACE

CloudWatch namespace to return Training Job Analytics data

Active bindings

name

Name of the TrainingJob being analyzed

Methods

Public methods

• TrainingJobAnalytics$new()

• TrainingJobAnalytics$clear_cache()

• TrainingJobAnalytics$clone()

Inherited methods

• sagemaker.common::AnalyticsMetricsBase$dataframe()
• sagemaker.common::AnalyticsMetricsBase$export_csv()
• sagemaker.common::AnalyticsMetricsBase$format()

---

Method new()

Initialize a “TrainingJobAnalytics“ instance.

Usage

TrainingJobAnalytics$new(
  training_job_name,
  metric_names = NULL,
  sagemaker_session = NULL,
  start_time = NULL,
  end_time = NULL,
  period = NULL
)

Arguments

training_job_name

(str): name of the TrainingJob to analyze.

metric_names

(list, optional): string names of all the metrics to collect for this training job. If not specified, then it will use all metric names configured for this job.

sagemaker_session

(sagemaker.session.Session): Session object which manages interactions with Amazon SageMaker APIs and any other AWS services needed. If not specified, one is specified using the default AWS configuration chain.

start_time

:

end_time

:

period

:

---

Method clear_cache()

Clear the object of all local caches of API methods, so that the next time any properties are accessed they will be refreshed from the service.

Usage

TrainingJobAnalytics$clear_cache()

---

Method clone()

The objects of this class are cloneable with this method.

Usage

TrainingJobAnalytics$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

DyfanJones/sagemaker-r-common documentation built on June 14, 2022, 10:31 p.m.