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feat: Causal dmlestimator #8
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…n LinearDMLEstimator
* Resolve comments for LinearDMLEstimator * use pipeline in trainInternal
…e it between DML estimator and model; use vector_to_array instead of our own udf
…s issue by creating new instance of model
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* feat: Causal dmlestimator (#8) Add package 'com.microsoft.azure.synapse.ml.causal' and implementation LinearDMLEstimator * resolve comments and fix build pipeline failures * add //scalastyle:off method.length for trainIternal * fix DML Python API missing problem * fix build pipeline failures * rename LinearDMLEstimator to DoubleMLEstimator * rename DML APIs * forgot to change DoubleMLModel name in fuzzingTest * use findUnusedColumnName for treatmentResidual and outcomeResidul comlumns * address a few small comments * remove HasExcludeFeatureCols and use HasInputCols * fix style issue, Params.scala: File must end with newline character * set DoubleMLEstimator transform as experimental Co-authored-by: Jason Wang <jasowang@microsoft.com>
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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.