Files
FLAML/website/docusaurus.config.js
Li Jiang 1c9835dc0a Add support to Python 3.12, Sync Fabric till dc382961 (#1467)
* Merged PR 1686010: Bump version to 2.3.5.post2, Distribute source and wheel, Fix license-file, Only log better models

- Fix license-file
- Bump version to 2.3.5.post2
- Distribute source and wheel
- Log better models only
- Add artifact_path to register_automl_pipeline
- Improve logging of _automl_user_configurations

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This pull request fixes the project’s configuration by updating the license metadata for compliance with FLAML OSS 2.3.5.

The changes in `/pyproject.toml` update the project’s license and readme metadata by replacing deprecated keys with the new structured fields.
- `/pyproject.toml`: Replaced `license_file` with `license = { text = "MIT" }`.
- `/pyproject.toml`: Replaced `description-file` with `readme = "README.md"`.
<!-- GitOpsUserAgent=GitOps.Apps.Server.pullrequestcopilot -->

Related work items: #4252053

* Merged PR 1688479: Handle feature_importances_ is None, Catch RuntimeError and wait for spark cluster to recover

- Add warning message when feature_importances_ is None (#3982120)
- Catch RuntimeError and wait for spark cluster to recover (#3982133)

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Bug fix.

This pull request prevents an AttributeError in the feature importance plotting function by adding a check for a `None` value with an informative warning message.
- `flaml/fabric/visualization.py`: Checks if `result.feature_importances_` is `None`, logs a warning with possible reasons, and returns early.
- `flaml/fabric/visualization.py`: Imports `logger` from `flaml.automl.logger` to support the warning message.
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Related work items: #3982120, #3982133

* Removed deprecated metadata section

* Fix log_params, log_artifact doesn't support run_id in mlflow 2.6.0

* Remove autogen

* Remove autogen

* Remove autogen

* Merged PR 1776547: Fix flaky test test_automl

Don't throw error when time budget is not enough

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#### AI description  (iteration 1)
#### PR Classification
Bug fix addressing a failing test in the AutoML notebook example.

#### PR Summary
This PR fixes a flaky test by adding a conditional check in the AutoML test that prints a message and exits early if no best estimator is set, thereby preventing unpredictable test failures.
- `test/automl/test_notebook_example.py`: Introduced a check to print "Training budget is not sufficient" and return if `automl.best_estimator` is not found.
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Related work items: #4573514

* Merged PR 1777952: Fix unrecognized or malformed field 'license-file' when uploading wheel to feed

Try to fix InvalidDistribution: Invalid distribution metadata: unrecognized or malformed field 'license-file'

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Bug fix addressing package metadata configuration.

This pull request fixes the error with unrecognized or malformed license file fields during wheel uploads by updating the setup configuration.
- In `setup.py`, added `license="MIT"` and `license_files=["LICENSE"]` to provide proper license metadata.
<!-- GitOpsUserAgent=GitOps.Apps.Server.pullrequestcopilot -->

Related work items: #4560034

* Cherry-pick Merged PR 1879296: Add support to python 3.12 and spark 4.0

* Cherry-pick Merged PR 1890869: Improve time_budget estimation for mlflow logging

* Cherry-pick Merged PR 1879296: Add support to python 3.12 and spark 4.0

* Disable openai workflow

* Add python 3.12 to test envs

* Manually trigger openai

* Support markdown files with underscore-prefixed file names

* Improve save dependencies

* SynapseML is not installed

* Fix syntax error:Module !flaml/autogen was never imported

* macos 3.12 also hangs

* fix syntax error

* Update python version in actions

* Install setuptools for using pkg_resources

* Fix test_automl_performance in Github actions

* Fix test_nested_run
2026-01-10 12:17:21 +08:00

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JavaScript

/** @type {import('@docusaurus/types').DocusaurusConfig} */
const math = require('remark-math');
const katex = require('rehype-katex');
module.exports = {
title: 'FLAML',
tagline: 'A Fast Library for Automated Machine Learning & Tuning',
url: 'https://microsoft.github.io/',
baseUrl: '/FLAML/',
onBrokenLinks: 'throw',
onBrokenMarkdownLinks: 'warn',
favicon: 'img/flaml_logo.ico',
organizationName: 'Microsoft', // Usually your GitHub org/user name.
projectName: 'FLAML', // Usually your repo name.
themeConfig: {
navbar: {
title: 'FLAML',
logo: {
alt: 'FLAML',
src: 'img/flaml_logo_fill.svg',
},
items: [
{
type: 'doc',
docId: 'Getting-Started',
position: 'left',
label: 'Docs',
},
{
type: 'doc',
docId: 'reference/automl/automl',
position: 'left',
label: 'SDK',
},
{to: 'blog', label: 'Blog', position: 'left'},
{
type: 'doc',
docId: 'FAQ',
position: 'left',
label: 'FAQ',
},
{
href: 'https://github.com/microsoft/FLAML',
label: 'GitHub',
position: 'right',
},
],
},
footer: {
style: 'dark',
links: [
// {
// title: 'Docs',
// items: [
// {
// label: 'Getting Started',
// to: 'docs/getting-started',
// },
// ],
// },
{
title: 'Community',
items: [
// // {
// // label: 'Stack Overflow',
// // href: 'https://stackoverflow.com/questions/tagged/pymarlin',
// // },
{
label: 'Discord',
href: 'https://discord.gg/Cppx2vSPVP',
},
// // {
// // label: 'Twitter',
// // href: 'https://twitter.com/docusaurus',
// // },
],
},
// {
// title: 'More',
// items: [
// {
// label: 'GitHub',
// href: 'https://github.com/microsoft/FLAML',
// },
// ],
// },
],
copyright: `Copyright © ${new Date().getFullYear()} FLAML Authors. Built with Docusaurus.`,
},
},
presets: [
[
'@docusaurus/preset-classic',
{
docs: {
sidebarPath: require.resolve('./sidebars.js'),
// Please change this to your repo.
editUrl:
'https://github.com/microsoft/FLAML/edit/main/website/',
remarkPlugins: [math],
rehypePlugins: [katex],
// Allow __init__.md and other underscore-prefixed markdown docs
exclude: [
'**/_*.{js,jsx,ts,tsx}',
'**/*.test.{js,jsx,ts,tsx}',
'**/__tests__/**',
],
},
theme: {
customCss: require.resolve('./src/css/custom.css'),
},
},
],
],
stylesheets: [
{
href: "https://cdn.jsdelivr.net/npm/katex@0.13.11/dist/katex.min.css",
integrity: "sha384-Um5gpz1odJg5Z4HAmzPtgZKdTBHZdw8S29IecapCSB31ligYPhHQZMIlWLYQGVoc",
crossorigin: "anonymous",
},
],
plugins: [
// ... Your other plugins.
[
require.resolve("@easyops-cn/docusaurus-search-local"),
{
// ... Your options.
// `hashed` is recommended as long-term-cache of index file is possible.
hashed: true,
blogDir:"./blog/"
// For Docs using Chinese, The `language` is recommended to set to:
// ```
// language: ["en", "zh"],
// ```
// When applying `zh` in language, please install `nodejieba` in your project.
},
],
],
};