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docs: update notebooks - bring back fabric reviewers changes. #1979
docs: update notebooks - bring back fabric reviewers changes. #1979
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Hey @JessicaXYWang 👋! We use semantic commit messages to streamline the release process. Examples of commit messages with semantic prefixes:
To test your commit locally, please follow our guild on building from source. |
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Codecov Report
@@ Coverage Diff @@
## master #1979 +/- ##
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- Coverage 86.62% 83.96% -2.67%
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Files 306 306
Lines 16064 16064
Branches 840 840
==========================================
- Hits 13916 13488 -428
- Misses 2148 2576 +428 |
notebooks/features/classification/Classification - Before and After SynapseML.ipynb
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notebooks/features/classification/Classification - Before and After SynapseML.ipynb
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notebooks/features/classification/Classification - Sentiment Analysis Quickstart.ipynb
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.../cognitive_services/CognitiveServices - Create a Multilingual Search Engine from Forms.ipynb
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notebooks/features/cognitive_services/CognitiveServices - Overview.ipynb
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notebooks/features/isolation_forest/IsolationForest - Multivariate Anomaly Detection.ipynb
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} | ||
}, | ||
"tags": [ | ||
"hide-synapse-internal" |
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this notebook is using this alot, is there any way to reduce the usage of these here?
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Part of this notebook cannot run successfully on Fabric. Will remove the exclusion after I address that issue.
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Lovely work, left a few comments!
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notebooks/features/cognitive_services/CognitiveServices - Multivariate Anomaly Detection.ipynb
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Just some minor nits
…ivariate Anomaly Detection.ipynb Co-authored-by: Mark Hamilton <[email protected]>
Co-authored-by: Mark Hamilton <[email protected]>
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notebooks/features/classification/Classification - Before and After SynapseML.ipynb
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notebooks/features/responsible_ai/Interpretability - Tabular SHAP explainer.ipynb
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…After SynapseML.ipynb
…HAP explainer.ipynb
…oft#1979) * update doc for fabric * use previous multivariate anomaly detection notebook * revert change * bring back reviewers changes * use master isolationForestNotebook * format and doc bug fix * fix Multivariate Anomaly Detection doc version * Update notebooks/features/cognitive_services/CognitiveServices - Multivariate Anomaly Detection.ipynb Co-authored-by: Mark Hamilton <[email protected]> * Update notebooks/features/lightgbm/LightGBM - Overview.ipynb Co-authored-by: Mark Hamilton <[email protected]> * Update notebooks/features/classification/Classification - Before and After SynapseML.ipynb * Update notebooks/features/responsible_ai/Interpretability - Tabular SHAP explainer.ipynb ---------
Related Issues/PRs
#xxx
What changes are proposed in this pull request?
Briefly describe the changes included in this Pull Request.
How is this patch tested?
Does this PR change any dependencies?
Does this PR add a new feature? If so, have you added samples on website?
website/docs/documentation
folder.Make sure you choose the correct class
estimators/transformers
and namespace.DocTable
points to correct API link.yarn run start
to make sure the website renders correctly.<!--pytest-codeblocks:cont-->
before each python code blocks to enable auto-tests for python samples.WebsiteSamplesTests
job pass in the pipeline.