[0.9.0] Update release version to 0.9.0 + changelog (mlflow#997) (mlf…

…low#1012)

* 0.9.0 changelogs / release notes
* bump release version to 0.9.0

CHANGELOG.rst

@@ -1,6 +1,60 @@
 Changelog
 =========
 
+0.9.0 (2019-03-13)
+------------------
+
+Major features:
+
+- Support for running MLflow Projects in Docker containers. This allows you to include non-Python dependencies in their project environments and provides stronger isolation when running projects. See the `Projects documentation <https://mlflow.org/docs/latest/projects.html>`_ for more information. (#555, @marcusrehm; #819, @mparkhe; #970, @dbczumar)
+- Database stores for the MLflow Tracking Server. Support for a scalable and performant backend store was one of the top community requests. This feature enables you to connect to local or remote SQLAlchemy-compatible databases (currently supported flavors include MySQL, PostgreSQL, SQLite, and MS SQL) and is compatible with file backed store. See the `Tracking Store documentation <https://mlflow.org/docs/latest/tracking.html#storage>`_ for more information. (#756, @AndersonReyes; #800, #844, #847, #848, #860, #868, #975, @mparkhe; #980, @dbczumar)
+- Simplified custom Python model packaging. You can easily include custom preprocessing and postprocessing logic, as well as data dependencies in models with the ``python_function`` flavor using updated ``mlflow.pyfunc`` Python APIs. For more information, see the `Custom Python Models documentation <https://mlflow.org/docs/latest/models.html#custom-python-models>`_. (#791, #792, #793, #830, #910, @dbczumar)
+- Plugin systems allowing third party libraries to extend MLflow functionality. The `proposal document <https://gist.github.com/zblz/9e337a55a7ba73314890be68370fa69a>`_ gives the full detail of the three main changes: 
+
+  - You can register additional providers of tracking stores using the ``mlflow.tracking_store`` entrypoint. (#881, @zblz)
+  - You can register additional providers of artifact repositories using the ``mlflow.artifact_repository`` entrypoint. (#882, @mociarain)
+  - The logic generating run metadata from the run context (e.g. ``source_name``, ``source_version``) has been refactored into an extendable system of run context providers. Plugins can register additional providers using the ``mlflow.run_context_provider`` entrypoint, which add to or overwrite tags set by the base library. (#913, #926, #930, #978, @acroz)
+
+- Support for HTTP authentication to the Tracking Server in the R client. Now you can connect to secure Tracking Servers using credentials set in environment variables, or provide custom plugins for setting the credentials. As an example, this release contains a Databricks plugin that can detect existing Databricks credentials to allow you to connect to the Databricks Tracking Server. (#938, #959, #992, @tomasatdatabricks)
+
+
+Breaking changes:
+
+- [Scoring] The ``pyfunc`` scoring server now expects requests with the ``application/json`` content type to contain json-serialized pandas dataframes in the split format, rather than the records format. See the `documentation on deployment <https://mlflow.org/docs/latest/models.html#deploy-a-python-function-model-as-a-local-rest-api-endpoint>`_ for more detail. (#960, @dbczumar) Also, when reading the pandas dataframes from JSON, the scoring server no longer automatically infers data types as it can result in unintentional conversion of data types (#916, @mparkhe).
+- [API] Remove ``GetMetric`` & ``GetParam`` from the REST API as they are subsumed by ``GetRun``. (#879, @aarondav)
+
+
+More features and improvements:
+
+- [UI] Add a button for downloading artifacts (#967, @mateiz)
+- [CLI] Add CLI commands for runs: now you can ``list``, ``delete``, ``restore``, and ``describe`` runs through the CLI (#720, @DorIndivo)
+- [CLI] The ``run`` command now can take ``--experiment-name`` as an argument, as an alternative to the ``--experiment-id`` argument. You can also choose to set the ``_EXPERIMENT_NAME_ENV_VAR`` environment variable instead of passing in the value explicitly. (#889, #894, @mparke)
+- [Examples] Add Image classification example with Keras. (#743, @tomasatdatabricks )
+- [Artifacts] Add ``get_artifact_uri()`` and ``_download_artifact_from_uri`` convenience functions (#779)
+- [Artifacts] Allow writing Spark models directly to the target artifact store when possible (#808, @smurching)
+- [Models] PyTorch model persistence improvements to allow persisting definitions and dependencies outside the immediate scope:
+  - Add a ``code_paths`` parameter to ``mlflow.pytorch.save_model`` and ``mlflow.pytorch.log_model`` to allow external module dependencies to be specified as paths to python files. (#842, @dbczumar)
+  - Improve ``mlflow.pytorch.save_model`` to capture class definitions from notebooks and the ``__main__`` scope (#851, #861, @dbczumar)
+- [Runs][R] Allow client to infer context info when creating new run in fluent API (#958, @tomasatdatabricks)
+- [Runs][UI] Support Git Commit hyperlink for Gitlab and Bitbucket. Previously the clickable hyperlink was generated only for Github pages. (#901)
+- [Search][API] Allow param value to have any content, not just alphanumeric characters, ``.``, and ``-`` (#788, @mparkhe)
+- [Search][API] Support "filter" string in the ``SearchRuns`` API. Corresponding UI improvements are planned for the future (#905, @mparke)
+- [Logging] Basic support for LogBatch. NOTE: The feature is currently experimental and the behavior is expected to change in the near future. (#950, #951, #955, #1001, @smurching)
+
+
+Bug fixes and documentation updates:
+
+- [Artifacts] Fix empty-file upload to DBFS in ``log_artifact`` and ``log_artifacts`` (#895, #818, @smurching)
+- [Artifacts] S3 artifact store: fix path resolution error when artifact root is bucket root (#928, @dbczumar)
+- [UI] Fix a bug with Databricks notebook URL links (#891, @smurching)
+- [Export] Fix for missing run name in csv export (#864, @jimthompson5802)
+- [Example] Correct missing tensorboardX module error in PyTorch example when running in MLflow Docker container (#809, @jimthompson5802)
+- [Scoring][R] Fix local serving of rfunc models (#874, @kevinykuo)
+- [Docs] Improve flavor-specific documentation in Models documentation (#909, @dbczumar)
+
+Small bug fixes and doc updates (#822, #899, #787, #785, #780, #942, @hanyucui; #862, #904, #954, #806, #857, #845, @stbof; #907, #872, @smurching; #896, #858, #836, #859, #923, #939, #933, #931, #952, @dbczumar; #880, @zblz; #876, @acroz; #827, #812, #816, #829, @jimthompson5802; #837, #790, #897, #974, #900, @mparkhe; #831, #798, @aarondav; #814, @sueann; #824, #912, @mateiz; #922, #947, @tomasatdatabricks; #795, @KevYuen; #676, @mlaradji; #906, @4n4nd; #777, @tmielika; #804, @alkersan)
+
+
 0.8.2 (2019-01-28)
 ------------------
 

mlflow/R/mlflow/DESCRIPTION

@@ -1,7 +1,7 @@
 Package: mlflow
 Type: Package
 Title: Interface to 'MLflow'
-Version: 0.8.3.9001
+Version: 0.9.0
 Authors@R: c(
   person("Matei", "Zaharia", email = "matei@databricks.com", role = c("aut", "cre")),
   person("Javier", "Luraschi", email = "javier@rstudio.com", role = c("aut")),

mlflow/java/client/pom.xml

@@ -5,7 +5,7 @@
   <parent>
     <groupId>org.mlflow</groupId>
     <artifactId>mlflow-parent</artifactId>
-    <version>0.8.3</version>
+    <version>0.9.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

mlflow/java/pom.xml

@@ -3,7 +3,7 @@
   <modelVersion>4.0.0</modelVersion>
   <groupId>org.mlflow</groupId>
   <artifactId>mlflow-parent</artifactId>
-  <version>0.8.3</version>
+  <version>0.9.0</version>
   <packaging>pom</packaging>
   <name>MLflow Parent POM</name>
   <url>http://mlflow.org</url>
@@ -40,7 +40,7 @@
   </distributionManagement>
 
   <properties>
-    <mlflow-version>0.5.1</mlflow-version>
+    <mlflow-version>0.9.0</mlflow-version>
     <maven.compiler.source>1.8</maven.compiler.source>
     <maven.compiler.target>1.8</maven.compiler.target>
     <scala.version>2.11.12</scala.version>

mlflow/java/scoring/pom.xml

@@ -5,7 +5,7 @@
   <parent>
     <groupId>org.mlflow</groupId>
     <artifactId>mlflow-parent</artifactId>
-    <version>0.8.3</version>
+    <version>0.9.0</version>
     <relativePath>../pom.xml</relativePath>
   </parent>
 

mlflow/version.py

@@ -1,4 +1,4 @@
 # Copyright 2018 Databricks, Inc.
 
 
-VERSION = '0.8.3.dev0'
+VERSION = '0.9.0'