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Ray 2.7.2
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Ray
概述「100%」
入门
安装「100%」
用例「100%」
示例库「1%」
生态「3%」
Ray 核心「100%」
Ray 数据「75%」
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入门
关键概念
用户指南
Ray Tune 示例
Ray Tune 问答
Ray Tune API
Tune Execution (tune.Tuner)
Tune Experiment Results (tune.ResultGrid)
ray.tune.ResultGrid
ray.tune.ResultGrid.get_best_result
ray.tune.ResultGrid.get_dataframe
ray.tune.ExperimentAnalysis
Training in Tune (tune.Trainable, session.report)
Tune Search Space API
Tune Search Algorithms (tune.search)
Tune Trial Schedulers (tune.schedulers)
Tune Stopping Mechanisms (tune.stopper)
Tune Console Output (Reporters)
Syncing in Tune (train.SyncConfig)
Tune Loggers (tune.logger)
Tune Callbacks (tune.Callback)
Environment variables used by Ray Tune
Tune Scikit-Learn API (tune.sklearn)
External library integrations for Ray Tune
Tune Internals
Tune Client API
Tune CLI (Experimental)
Ray Serve
Ray RLlib
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ray.tune.ExperimentAnalysis.results_df
ray.tune.ExperimentAnalysis.results_df
#
property
ExperimentAnalysis.
results_df
:
pandas.core.frame.DataFrame
#
Get all the last results as a pandas dataframe.