* Security vuln update from Dependabot alerts
* formatting
* pin onnx for now?
* Update setup.py
* ordering?
* reverting
* putting onnx in pipeline for now to test
* ordering
* an experiment that will def fail
* reverting to the last working try
* Testing skl 1.1.1 again
* scikit-learn 1.1.1 requires Python (>= 3.8). I think it's best to deprecate 3.7
* checking errors if remove pin
* pulling two tests for now
* putting this back before i forget. TODO: fix and add back 2 onnx tests
* adding raises for falsefalse scaler.
* simplifying test
* use `onnxmltools>=1.6.0,<=1.11.0`
because `import onnxmltools` will fail with
`onnxconverter_common==1.8.1`&`onnxmltools==1.11.1`
* install scikit-learn>=0.21.3,<1.1.0 explicitly
* debugging skl hist gb
* skip test for dbg
* for now, bad hack around extra params
* adding back others as well
* adding back others as well
* n_components == 10, must be <= 3; updates to PCA in skl 1.1.1
* matteo's changes
* troubleshooting knn breaking, pin scipy
* pinning scipy in ci/cd for now
* set eq
* skipping if 3.6, (which still pulls 1.5.x)
* skipping if 3.6, (which still pulls 1.5.x)
* skipping if 3.6, (which still pulls 1.5.x)
* whitespace
* attemping to deprecate python 3.5 and onboard 3.9. Can't wait to see what breaksgit add .
* Holding on 3.9 for multiple deps
* making 3.6 also run TVM
* initial attempt at sphinx
* moving from shell script to just single command in yml
* adding make command, deleting sh
* ignoreing website/sphinx/_build/
* fixed missing hb prefix. testing out pipeline that will fail so hard
* fixing readme
* excluding web files from coverage. fixingdeps
* inner makefile
* adding secret for gh-pages for deploy
* using makefile
* changing subfolder to push
* excluding web files from coverage. fixingdeps
* fixing broken link, fixing doc tree depth
* purging pdoc
* add capability of setting number of threads to the container
* remove tuples from setup
* add psutil
* fix import problem
* fix xgb import
* add missing skipIf for onnx tests
* add back spark deps
* addressing Karla's comments
* wip
* fixing tests
* fixing formatting issues
* adding support to pass pyspark dataframe as test data
* adding support for pipelinemodel
* named input selection
* adding support for named inputs in spark-ml
* fixing issue
* fixing name error
* end-to-end spark-ml pipeline working
* more tests
* addressing review comments
* adding pyspark to ci/cd
* fixing bug
* sparkml requires torch >= 1.6.0 which has automatic type promotion
* input selection happening inside pytorch container
* fixing pytorch version
* reusing Concat from pipeline_implementations.py
* fixing Concat issue
Karla Saur
Masahiro Hiramori
Matteo Interlandi
Chris Hua
Liangfu Chen
Masahiro Hiramori
Matteo Interlandi
Xavier Dupré
Supun Nakandala