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April 2021
Created 37 commits in 4 repositories
Created 2 repositories
Created a pull request in apache/spark that received 42 comments
[SPARK-35142][PYTHON][ML] Fix incorrect return type for rawPredictionUDF in OneVsRestModel
What changes were proposed in this pull request? Fixes incorrect return type for rawPredictionUDF in OneVsRestModel.
Why are the changes needed?
B…
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Opened 33 other pull requests in 6 repositories
mlflow/mlflow
19
merged
3
open
3
closed
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Fix a leaked run error in
test_pytorch_test_metrics_logged -
Add
newer_than_maxto cross version tests matrix to trigger tests when we update maximum versions - Print out ImageOS & ImageVersion
- Add pipeline example for pyspark ML autologging
- Cache pyspark wheel bulilt from source
- Chery picks for 1.16.0
- Cache catboost wheel for dev version
- Add package and version to cross-versions-tests matrix
- Update ML package versions for 1.16.0 release
- Add tests to ensure database can be initialized for postgresql and mysql
- Separate MLeap jars in spark tests
- Add dev version of spark to cross version tests
- Add Pyspark ML autologging examples
- [DO NOT MREGE] Debug spark datasource logging
- Add argument type annotations
- Remove h5py from extra-ml-requirements.txt
- Unpin pyspark in cross version tests for keras
- Move utility functions used in sklearn autologging to reuse them in pyspark autologging
- Add spark model export tests in cross version tests
- Separate MLeap tests and unpin pyspark
- Add return type annotations to key MLflow APIs
- Add SPARK_LOCAL_IP in cross version tests config
- Set SPARK_LOCAL_IP to fix flaky spark session creation
- Fix flaky spark session creation
- [DO NOT MERGE] Set server_default to 0
apache/spark
3
closed
harupy/investigate-mlflow-4208
2
merged
harupy/mlflow
1
open
harupy/spark
1
closed
harupy/SPARK-35142
1
closed
Reviewed 36 pull requests in 5 repositories
mlflow/mlflow 32 pull requests
-
Add
newer_than_maxto cross version tests matrix to trigger tests when we update maximum versions - Add pipeline example for pyspark ML autologging
- Fix version checking in disable_for_unsupported_versions
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[ML-14300] Add a script that updates
ml-package-versions.yml - Implementation: autologging for hyperparameter-tuning
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Fix a leaked run error in
test_pytorch_test_metrics_logged - Cache catboost wheel for dev version
- Cache pyspark wheel bulilt from source
- [ALL TESTS] Bump dev versions
- Add Pyspark ML autologging examples
- Implementation: pyspark ML autologging for pipeline
- Add package and version to cross-versions-tests matrix
- Add dev version of spark to cross version tests
- Add tests to ensure database can be initialized for postgresql and mysql
- Fix flaky test
- Separate MLeap jars in spark tests
- Add argument type annotations
- Update Cross version tests on spark to include allowlist suite.
- [DO NOT MREGE] Debug spark datasource logging
- Move utility functions used in sklearn autologging to reuse them in pyspark autologging
- Implementation: pyspark autologging for basic estimator
- Add return type annotations to key MLflow APIs
- Add cross test CI for spark dataset autologging
- Add spark model export tests in cross version tests
- Separate MLeap tests and unpin pyspark
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mlflow/mlflow-torchserve 1 pull request
apache/spark 1 pull request
chauhang/mlflow 1 pull request
chauhang/mlflow-torchserve-1 1 pull request
Created an issue in PyTorchLightning/pytorch-lightning that received 8 comments
ModuleNotFoundError: No module named 'packaging' in pytorch-lightning 1.2.9
# Dockerfile
FROM python:3.7 RUN pip install pytorch-lightning
RUN pip list
RUN python -c…
8
comments
Opened 2 other issues in 1 repository
25
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Apr 1 – Apr 28