[Docs][Train] Replace Ray Tune + Train example with vanilla Ray Tune in homepage#60229
Merged
matthewdeng merged 1 commit intoray-project:masterfrom Jan 20, 2026
Merged
Conversation
Signed-off-by: xgui <xgui@anyscale.com>
Contributor
There was a problem hiding this comment.
Code Review
This pull request effectively simplifies the Ray Tune example on the homepage by replacing a combined Ray Tune + Ray Train example with a vanilla Ray Tune one. This makes the core functionality of Ray Tune much clearer for new users. The new code snippet is well-structured, covering the definition of an objective function, a search space, and the execution of a tuning job. I have one suggestion to use tune.qrandint to avoid a common point of confusion with integer ranges, which will improve the example's clarity.
jinbum-kim
pushed a commit
to jinbum-kim/ray
that referenced
this pull request
Jan 29, 2026
…in homepage (ray-project#60229) ## Summary Replaced the Ray Tune example in the homepage (`index.html`) to show vanilla Ray Tune usage instead of V1 tune+train integration. **Changes:** - Removed `ScalingConfig` and `LightGBMTrainer` imports (Ray Train components) - Added a pure Ray Tune example demonstrating: - An objective function that trains a model with hyperparameters and reports metrics - Hyperparameter search space using common Tune methods (`loguniform`, `choice`, `randint`) - Running 1000 trials with the `Tuner` API - Retrieving the best result This makes the example clearer for users who want to learn Ray Tune's hyperparameter optimization capabilities without the complexity of Ray Train integration. Signed-off-by: xgui <xgui@anyscale.com> Signed-off-by: jinbum-kim <jinbum9958@gmail.com>
400Ping
pushed a commit
to 400Ping/ray
that referenced
this pull request
Feb 1, 2026
…in homepage (ray-project#60229) ## Summary Replaced the Ray Tune example in the homepage (`index.html`) to show vanilla Ray Tune usage instead of V1 tune+train integration. **Changes:** - Removed `ScalingConfig` and `LightGBMTrainer` imports (Ray Train components) - Added a pure Ray Tune example demonstrating: - An objective function that trains a model with hyperparameters and reports metrics - Hyperparameter search space using common Tune methods (`loguniform`, `choice`, `randint`) - Running 1000 trials with the `Tuner` API - Retrieving the best result This makes the example clearer for users who want to learn Ray Tune's hyperparameter optimization capabilities without the complexity of Ray Train integration. Signed-off-by: xgui <xgui@anyscale.com> Signed-off-by: 400Ping <jiekaichang@apache.org>
ryanaoleary
pushed a commit
to ryanaoleary/ray
that referenced
this pull request
Feb 3, 2026
…in homepage (ray-project#60229) ## Summary Replaced the Ray Tune example in the homepage (`index.html`) to show vanilla Ray Tune usage instead of V1 tune+train integration. **Changes:** - Removed `ScalingConfig` and `LightGBMTrainer` imports (Ray Train components) - Added a pure Ray Tune example demonstrating: - An objective function that trains a model with hyperparameters and reports metrics - Hyperparameter search space using common Tune methods (`loguniform`, `choice`, `randint`) - Running 1000 trials with the `Tuner` API - Retrieving the best result This makes the example clearer for users who want to learn Ray Tune's hyperparameter optimization capabilities without the complexity of Ray Train integration. Signed-off-by: xgui <xgui@anyscale.com>
peterxcli
pushed a commit
to peterxcli/ray
that referenced
this pull request
Feb 25, 2026
…in homepage (ray-project#60229) ## Summary Replaced the Ray Tune example in the homepage (`index.html`) to show vanilla Ray Tune usage instead of V1 tune+train integration. **Changes:** - Removed `ScalingConfig` and `LightGBMTrainer` imports (Ray Train components) - Added a pure Ray Tune example demonstrating: - An objective function that trains a model with hyperparameters and reports metrics - Hyperparameter search space using common Tune methods (`loguniform`, `choice`, `randint`) - Running 1000 trials with the `Tuner` API - Retrieving the best result This makes the example clearer for users who want to learn Ray Tune's hyperparameter optimization capabilities without the complexity of Ray Train integration. Signed-off-by: xgui <xgui@anyscale.com> Signed-off-by: peterxcli <peterxcli@gmail.com>
peterxcli
pushed a commit
to peterxcli/ray
that referenced
this pull request
Feb 25, 2026
…in homepage (ray-project#60229) ## Summary Replaced the Ray Tune example in the homepage (`index.html`) to show vanilla Ray Tune usage instead of V1 tune+train integration. **Changes:** - Removed `ScalingConfig` and `LightGBMTrainer` imports (Ray Train components) - Added a pure Ray Tune example demonstrating: - An objective function that trains a model with hyperparameters and reports metrics - Hyperparameter search space using common Tune methods (`loguniform`, `choice`, `randint`) - Running 1000 trials with the `Tuner` API - Retrieving the best result This makes the example clearer for users who want to learn Ray Tune's hyperparameter optimization capabilities without the complexity of Ray Train integration. Signed-off-by: xgui <xgui@anyscale.com> Signed-off-by: peterxcli <peterxcli@gmail.com>
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Summary
Replaced the Ray Tune example in the homepage (
index.html) to show vanilla Ray Tune usage instead of V1 tune+train integration.Changes:
ScalingConfigandLightGBMTrainerimports (Ray Train components)loguniform,choice,randint)TunerAPIThis makes the example clearer for users who want to learn Ray Tune's hyperparameter optimization capabilities without the complexity of Ray Train integration.