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Clean up SparkML docs#18811

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BenWilson2 merged 2 commits intomlflow:masterfrom
BenWilson2:spark-docs-cleanup
Nov 13, 2025
Merged

Clean up SparkML docs#18811
BenWilson2 merged 2 commits intomlflow:masterfrom
BenWilson2:spark-docs-cleanup

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@BenWilson2 BenWilson2 commented Nov 12, 2025

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Install mlflow from this PR

# mlflow
pip install git+https://github.com/mlflow/mlflow.git@refs/pull/18811/merge
# mlflow-skinny
pip install git+https://github.com/mlflow/mlflow.git@refs/pull/18811/merge#subdirectory=libs/skinny

For Databricks, use the following command:

%sh curl -LsSf https://raw.githubusercontent.com/mlflow/mlflow/HEAD/dev/install-skinny.sh | sh -s pull/18811/merge

Related Issues/PRs

#xxx

What changes are proposed in this pull request?

Remove loads of junk from the SparkML docs

How is this PR tested?

  • Existing unit/integration tests
  • New unit/integration tests
  • Manual tests

Does this PR require documentation update?

  • No. You can skip the rest of this section.
  • Yes. I've updated:
    • Examples
    • API references
    • Instructions

Release Notes

Is this a user-facing change?

  • No. You can skip the rest of this section.
  • Yes. Give a description of this change to be included in the release notes for MLflow users.

What component(s), interfaces, languages, and integrations does this PR affect?

Components

  • area/tracking: Tracking Service, tracking client APIs, autologging
  • area/models: MLmodel format, model serialization/deserialization, flavors
  • area/model-registry: Model Registry service, APIs, and the fluent client calls for Model Registry
  • area/scoring: MLflow Model server, model deployment tools, Spark UDFs
  • area/evaluation: MLflow model evaluation features, evaluation metrics, and evaluation workflows
  • area/gateway: MLflow AI Gateway client APIs, server, and third-party integrations
  • area/prompts: MLflow prompt engineering features, prompt templates, and prompt management
  • area/tracing: MLflow Tracing features, tracing APIs, and LLM tracing functionality
  • area/projects: MLproject format, project running backends
  • area/uiux: Front-end, user experience, plotting, JavaScript, JavaScript dev server
  • area/build: Build and test infrastructure for MLflow
  • area/docs: MLflow documentation pages

How should the PR be classified in the release notes? Choose one:

  • rn/none - No description will be included. The PR will be mentioned only by the PR number in the "Small Bugfixes and Documentation Updates" section
  • rn/breaking-change - The PR will be mentioned in the "Breaking Changes" section
  • rn/feature - A new user-facing feature worth mentioning in the release notes
  • rn/bug-fix - A user-facing bug fix worth mentioning in the release notes
  • rn/documentation - A user-facing documentation change worth mentioning in the release notes

Should this PR be included in the next patch release?

Yes should be selected for bug fixes, documentation updates, and other small changes. No should be selected for new features and larger changes. If you're unsure about the release classification of this PR, leave this unchecked to let the maintainers decide.

What is a minor/patch release?
  • Minor release: a release that increments the second part of the version number (e.g., 1.2.0 -> 1.3.0).
    Bug fixes, doc updates and new features usually go into minor releases.
  • Patch release: a release that increments the third part of the version number (e.g., 1.2.0 -> 1.2.1).
    Bug fixes and doc updates usually go into patch releases.
  • Yes (this PR will be cherry-picked and included in the next patch release)
  • No (this PR will be included in the next minor release)

Signed-off-by: Ben Wilson <benjamin.wilson@databricks.com>
@github-actions github-actions bot added v3.6.1 area/docs Documentation issues rn/documentation Mention under Documentation Changes in Changelogs. labels Nov 12, 2025
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github-actions bot commented Nov 12, 2025

Documentation preview for f4c6422 is available at:

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Pull Request Overview

This PR cleans up the Spark MLlib documentation by removing verbose, marketing-style content and simplifying the structure to be more concise and practical.

Key Changes

  • Replaced extensive feature descriptions with a concise FeatureHighlights component showing key capabilities
  • Condensed multiple sections with redundant information into focused subsections
  • Simplified code examples while maintaining technical accuracy

Reviewed Changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated no comments.

File Description
docs/docs/classic-ml/traditional-ml/sparkml/index.mdx Streamlined overview page with concise feature highlights, removed verbose marketing content, and simplified navigation links
docs/docs/classic-ml/traditional-ml/sparkml/guide/index.mdx Condensed comprehensive guide by removing redundant examples and explanations, focusing on essential usage patterns for model logging, deployment formats, datasource autologging, and model registry

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<TabItem value="pyfunc" label="PyFunc Format">

The PyFunc format enables deployment outside of Spark environments:
Enables deployment without Spark infrastructure:
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without Spark infrastructure:

this might not be accurate,
it still depends on apache/spark library, and it needs to launch a local mode spark cluster for model inference.

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Yeah I think I need to say "it doesn't need to run IN Spark to work" . I'll update :D Good call out

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LGTM except one comment

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LGTM, can we actually merge 2 pages into one?

Signed-off-by: Ben Wilson <benjamin.wilson@databricks.com>
@BenWilson2 BenWilson2 enabled auto-merge November 13, 2025 22:35
@BenWilson2 BenWilson2 added this pull request to the merge queue Nov 13, 2025
Merged via the queue into mlflow:master with commit aa67507 Nov 13, 2025
45 checks passed
@BenWilson2 BenWilson2 deleted the spark-docs-cleanup branch November 13, 2025 23:03
mprahl pushed a commit to opendatahub-io/mlflow that referenced this pull request Nov 21, 2025
Signed-off-by: Ben Wilson <benjamin.wilson@databricks.com>
Tian-Sky-Lan pushed a commit to Tian-Sky-Lan/mlflow that referenced this pull request Nov 24, 2025
Signed-off-by: Ben Wilson <benjamin.wilson@databricks.com>
Signed-off-by: Tian Lan <sky.blue266000@gmail.com>
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4 participants