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Bump version and update changelog for 0.3.0 release #167

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merged 7 commits into from Jul 18, 2018

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aarondav
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This will be merged tomorrow morning immediately prior to the release.

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codecov-io commented Jul 18, 2018

Codecov Report

Merging #167 into master will decrease coverage by 1.34%.
The diff coverage is 100%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master     #167      +/-   ##
==========================================
- Coverage    51.6%   50.25%   -1.35%     
==========================================
  Files          93       93              
  Lines        4676     4676              
==========================================
- Hits         2413     2350      -63     
- Misses       2263     2326      +63
Impacted Files Coverage Δ
mlflow/models/__init__.py 100% <ø> (ø) ⬆️
mlflow/version.py 100% <100%> (ø) ⬆️
mlflow/projects/databricks.py 0% <0%> (-78.27%) ⬇️
mlflow/projects/pollable_run.py 76.78% <0%> (-10.72%) ⬇️
mlflow/projects/__init__.py 91.73% <0%> (-2.48%) ⬇️

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CHANGELOG.rst Outdated
- Spark MLlib integration, we now support logging SparkML Models directly in the log_model API, Model format, and serving APIs (#72, @tomasatdatabricks)
- Google Cloud Storage is now supported as an artifact storage root (#152, @bnekolny)
- Support asychronous/parallel execution of mlflow runs (#82, @smurching)
- [SageMaker] Pushing the mlflow sagemaker container now includes the mlflow version that it was published with (#124, @sueann)
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Nit: Capitalize MLflow and SageMaker consistently

CHANGELOG.rst Outdated
- Support asychronous/parallel execution of mlflow runs (#82, @smurching)
- [SageMaker] Pushing the mlflow sagemaker container now includes the mlflow version that it was published with (#124, @sueann)
- [SageMaker] Simplify parameters to SageMaker deploy by providing sane defaults (#126, @sueann)
- [SageMaker] Support for deleting, updating applications deployed via SageMaker (#145, @dbczumar)
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Maybe we should list this one first because it's easier to understand than the other SageMaker ones?

CHANGELOG.rst Outdated

Features:

- Spark MLlib integration, we now support logging SparkML Models directly in the log_model API, Model format, and serving APIs (#72, @tomasatdatabricks)
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Nit: instead of "integration," it would be more grammatically correct to write "integration:"

CHANGELOG.rst Outdated
- [SageMaker] Support for deleting, updating applications deployed via SageMaker (#145, @dbczumar)
- [UI] One-element metrics are now displayed as a bar char (#118, @cryptexis)

Bug fixes and breaking changes:
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Kind of odd to group these together. I'd list breaking changes separately, maybe even before the new features

@aarondav aarondav merged commit d193e87 into mlflow:master Jul 18, 2018
jdlesage pushed a commit to jdlesage/mlflow that referenced this pull request May 7, 2020
dbczumar pushed a commit to dbczumar/mlflow that referenced this pull request Jun 15, 2022
* Fixed Run Summary in train

Signed-off-by: jinzhang21 <jin.zhang@databricks.com>

* Fixed lint

Signed-off-by: jinzhang21 <jin.zhang@databricks.com>
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3 participants