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What changes are proposed in this pull request?

Briefly describe the changes included in this Pull Request.

How is this patch tested?

  • I have written tests (not required for typo or doc fix) and confirmed the proposed feature/bug-fix/change works.

Does this PR change any dependencies?

  • No. You can skip this section.
  • Yes. Make sure the dependencies are resolved correctly, and list changes here.

Does this PR add a new feature? If so, have you added samples on website?

  • No. You can skip this section.
  • Yes. Make sure you have added samples following below steps.
  1. Find the corresponding markdown file for your new feature in website/docs/documentation folder.
    Make sure you choose the correct class estimators/transformers and namespace.
  2. Follow the pattern in markdown file and add another section for your new API, including pyspark, scala (and .NET potentially) samples.
  3. Make sure the DocTable points to correct API link.
  4. Navigate to website folder, and run yarn run start to make sure the website renders correctly.
  5. Don't forget to add <!--pytest-codeblocks:cont--> before each python code blocks to enable auto-tests for python samples.
  6. Make sure the WebsiteSamplesTests job pass in the pipeline.

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ghost commented Feb 24, 2025

Acrolinx Scorecards

A minimum total score of 80 is required.

Select the total score link to review all feedback on clarity, consistency, tone, brand, terms, spelling, grammar, readability, and inclusive language. You should fix all spelling errors regardless of your total score. Fixing spelling errors helps maintain customer trust in overall content quality.

Article Total score
(Required: 80)
Terminology Spelling and grammar Clarity
(Readability)
docs/Explore Algorithms/Deep Learning/Getting Started.md 94 100 100 100
docs/Explore Algorithms/Other Algorithms/Cyber ML.md 84 100 60 73
docs/Get Started/Install SynapseML.md 78 100 100 33
docs/Reference/Docker Setup.md 72 100 82 49
docs/Reference/Dotnet Setup.md 85 100 71 66
docs/Reference/Quickstart - LightGBM in Dotnet.md 77 100 54 35
docs/Reference/R Setup.md 68 100 41 63
website/versioned_docs/version-1.0.10/Deploy Models/Overview.md 66 94 65 44
website/versioned_docs/version-1.0.10/Deploy Models/Quickstart - Deploying a Classifier.md 61 50 100 40
website/versioned_docs/version-1.0.10/Explore Algorithms/AI Services/Advanced Usage - Async, Batching, and Multi-Key.md 79 100 44 54
website/versioned_docs/version-1.0.10/Explore Algorithms/AI Services/Geospatial Services.md 69 57 73 50
website/versioned_docs/version-1.0.10/Explore Algorithms/AI Services/Multivariate Anomaly Detection.md 88 100 100 66
website/versioned_docs/version-1.0.10/Explore Algorithms/AI Services/Overview.md 85 100 96 73
website/versioned_docs/version-1.0.10/Explore Algorithms/AI Services/Quickstart - Analyze Celebrity Quotes.md 91 100 100 55
website/versioned_docs/version-1.0.10/Explore Algorithms/AI Services/Quickstart - Analyze Text.md 68 70 100 49
website/versioned_docs/version-1.0.10/Explore Algorithms/AI Services/Quickstart - Create Audiobooks.md 100 100 100 100
website/versioned_docs/version-1.0.10/Explore Algorithms/AI Services/Quickstart - Create a Visual Search Engine.md 87 100 100 68
website/versioned_docs/version-1.0.10/Explore Algorithms/AI Services/Quickstart - Document Question and Answering with PDFs.md 73 100 87 35
website/versioned_docs/version-1.0.10/Explore Algorithms/AI Services/Quickstart - Flooding Risk.md 75 74 100 31
website/versioned_docs/version-1.0.10/Explore Algorithms/AI Services/Quickstart - Predictive Maintenance.md 71 68 87 41
website/versioned_docs/version-1.0.10/Explore Algorithms/Anomaly Detection/Quickstart - Isolation Forests.md 70 100 73 33
website/versioned_docs/version-1.0.10/Explore Algorithms/Causal Inference/Overview.md 86 100 100 71
website/versioned_docs/version-1.0.10/Explore Algorithms/Causal Inference/Quickstart - Measure Causal Effects.md 83 100 59 74
website/versioned_docs/version-1.0.10/Explore Algorithms/Causal Inference/Quickstart - Measure Heterogeneous Effects.md 84 100 60 75
website/versioned_docs/version-1.0.10/Explore Algorithms/Causal Inference/Quickstart - Synthetic difference in differences.md 66 100 66 56
website/versioned_docs/version-1.0.10/Explore Algorithms/Classification/Quickstart - SparkML vs SynapseML.md 86 100 69 82
website/versioned_docs/version-1.0.10/Explore Algorithms/Classification/Quickstart - Train Classifier.md 84 100 100 61
website/versioned_docs/version-1.0.10/Explore Algorithms/Classification/Quickstart - Vowpal Wabbit on Tabular Data.md 83 100 100 49
website/versioned_docs/version-1.0.10/Explore Algorithms/Classification/Quickstart - Vowpal Wabbit on Text Data.md 74 71 100 56
website/versioned_docs/version-1.0.10/Explore Algorithms/Deep Learning/Distributed Training.md 91 100 100 72

More information about Acrolinx

@mhamilton723 mhamilton723 merged commit 0240895 into microsoft:master Feb 24, 2025
7 of 8 checks passed
JessicaXYWang pushed a commit to JessicaXYWang/SynapseML that referenced this pull request Mar 10, 2025
mhamilton723 added a commit that referenced this pull request Mar 24, 2025
* update openai compeletion doc

* disable some OpenAICompletion Unit test

* use chatCompletion for DefaultsSuite

* ignore OpenAICompletionSuite

* update langchain chat completion notebook

* fix langchain test

* fix typo

* add dependency

* run test

* add time for deeplearning test

* test run

* chore: bump synapseml to v1.0.10 (#2351)

* Make sure library isnt released twice

* update langchain chat completion notebook

* fix langchain test

* chore: free up space on build machines prior to caching (#2353)

* chore: streamline cache fix (#2354)

* fix typo

* add dependency

* run test

* add time for deeplearning test

* test run

* change to 4o

* revert changes in langchain test, just update model to 4o

* test run for a better error

* test run

* fix 2 failed lanchain test

* e2e update model version

* format

* remove llm type attribute, skip save and load

---------

Co-authored-by: Mark Hamilton <[email protected]>
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