MLnotebooks-master
MLexamples
includes
mlSetup.py
1KB
00_PrepareData.py
2KB
ModelRegistry.py
2KB
rNotebooks
includes
prepareBankData.py
2KB
mlSetup.r
2KB
1. MLflow Tracking and Distributed Model Training.r
19KB
2. Training and Logging SparkML Models with sparklyr.r
14KB
3. rAzureML.r
10KB
xgBoostExamples
singleNodeXGBoost
04.3_DeployToSageMaker.py
6KB
03_ModelRegistry.py
5KB
04.2_DeployToAzureML.py
5KB
04.1_deployToNotebook.py
2KB
01_FeatureEngineering.py
2KB
02_One_XGBoost_Model.py
3KB
02.1_ManyXGBoost_Models.py
9KB
HyperOptSparkExamples
models
runLightGBM.py
3KB
runXGBoost4J.scala
4KB
runRF.py
2KB
3.ModelRegistry.py
1KB
4.2_DeployLGB_toNotebook.py
2KB
1.runFeatureEngineering.py
2KB
4.1_DeployXGBToNotebook.py
5KB
2.runHyperOptMLFlow.py
3KB
sparkMLnotebooks
01_buildSparkMLmodel.py
6KB
02_ModelRegistry.py
3KB
031_DeployToNotebook.py
2KB
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