| ExperimentAnalytics | R Documentation |
Fetch trial component data and make them accessible for analytics.
sagemaker.common::AnalyticsMetricsBase -> ExperimentAnalytics
MAX_TRIAL_COMPONENTSclass metadata
nameName of the Experiment being analyzed
new()Initialize a “ExperimentAnalytics“ instance.
ExperimentAnalytics$new( experiment_name = NULL, search_expression = NULL, sort_by = NULL, sort_order = NULL, metric_names = NULL, parameter_names = NULL, sagemaker_session = NULL )
experiment_name(str, optional): Name of the experiment if you want to constrain the search to only trial components belonging to an experiment.
search_expression(dict, optional): The search query to find the set of trial components to use to populate the data frame.
sort_by(str, optional): The name of the resource property used to sort the set of trial components.
sort_order(str optional): How trial components are ordered, valid values are Ascending and Descending. The default is Descending.
metric_names(list, optional): string names of all the metrics to be shown in the data frame. If not specified, all metrics will be shown of all trials.
parameter_names(list, optional): string names of the parameters to be shown in the data frame. If not specified, all parameters will be shown of all trials.
sagemaker_session(sagemaker.session.Session): Session object which manages interactions with Amazon SageMaker APIs and any other AWS services needed. If not specified, one is created using the default AWS configuration chain.
clear_cache()Clear the object of all local caches of API methods.
ExperimentAnalytics$clear_cache()
clone()The objects of this class are cloneable with this method.
ExperimentAnalytics$clone(deep = FALSE)
deepWhether to make a deep clone.
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