feat: add mlflow guidance in website and fix some installation pieces #1428
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FYI: #1407 |
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/azp run |
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Codecov Report
@@ Coverage Diff @@
## master #1428 +/- ##
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- Coverage 84.78% 83.13% -1.65%
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Files 287 280 -7
Lines 14250 14115 -135
Branches 719 719
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- Hits 12082 11735 -347
- Misses 2168 2380 +212
Continue to review full report at Codecov.
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website/docs/mlflow/examples.md
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| display(sentiment.transform(df)) | ||
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| # Wrap it as a stage in the PipelineModel | ||
| sentimentM = PipelineModel(stages=[sentiment]) |
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nit: maybe just call this sentiment_model
mhamilton723
requested changes
Feb 25, 2022
website/docs/mlflow/examples.md
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| .setLeafPredictionCol("leafPrediction") | ||
| .setFeaturesShapCol("featuresShap")) | ||
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| lightbmCM = lightgbmClassifier.fit(df_trans) |
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maybe just lightgbm_model
website/docs/mlflow/examples.md
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| with mlflow.start_run(): | ||
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| featureColumns = ["Number of times pregnant","Plasma glucose concentration a 2 hours in an oral glucose tolerance test", |
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nit: snake case in python examples
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/azp run |
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Azure Pipelines successfully started running 1 pipeline(s). |
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/azp run |
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Azure Pipelines successfully started running 1 pipeline(s). |
mhamilton723
approved these changes
Feb 28, 2022
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Summary
Add samples of Mlflow usage with SynapseML on the website and fix some installation guidance for the
nextversion.Tests
Tested website rendering correctly.