registry.html points to model-registry.html #2232
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fixes #2165 |
smurching
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Dec 20, 2019
* registry.html points to model-registry.html
amrqt
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Dec 20, 2019
* Replace ValueError check with Exception check for JSON.loads in HTTP requests (mlflow#2204) * Replace ValueError check with Exception check for JSON.loads in HTTP requests When an HTTP request is executed, it tries to parse an error response as JSON. This check only handles ValueError. `json.loads` can throw multiple types of errors and is not specific about which. Therefore, I've switched to catch the `Exception`. * Add killed status constraint (mlflow#2110) * Add killed status constraint * Fix migration script * Do migration only if check constraints are defined * Use alter_column to replace constraints * Apply previous constraints with the table_args arguments * Specify `native_enum=False` * Update tests * Update sql latest schema * relaunch travis * relaunch travis * Fix mlflow.keras.save_model with DBFS (mlflow#2216) Fixed a bug where mlflow.keras.save_model failed against "/dbfs/..." paths due to the lack of support for random writes when using DBFS FUSE. * Fix handling of empty directories in fs based artifact repositories. (mlflow#1891) * Fix handling of empty directories in artifact filesystem based artifact repositories. * Fixed tests. * Update. * Update. * nits * nit * Fix python27 compatibility. * fix * Fix download artifacts behavior and minor bug in s3 repo behavior. * Removed debug print. * Updated test. * Updated test for local artifact repo. * nit * nit: Removed outdated comment. * Fix artifact URI constructions in FileStore and SqlAlchemyStore (mlflow#2221) * append_uri_to_path with tons of tests * Store changes with test cases * Test multi-arg path * Lint * docs casing * Revert * Docstring * Add Java implementation of Spark datasource autologging (mlflow#2181) Adds Java implementation of Spark datasource autologging as described in https://docs.google.com/document/d/11nhwZtj-rps0stxuIioFBM9lkvIh_ua45cAFy_PqdHU/edit under a new mlflow-spark maven package. The current implementation notifies subscribers with datasource path, version, and format information. A follow-up PR will add logic to register a subscriber from Python when mlflow.spark.autolog() is called. * registry.html points to model-registry.html (mlflow#2232) * registry.html points to model-registry.html * 1.5 Changelog Changes (mlflow#2231) Add changelog for MLflow 1.5 Co-authored-by: Andy Chow <58712524+andychow-db@users.noreply.github.com> Co-authored-by: Jean-Denis Lesage <jdlesage@gmail.com> Co-authored-by: tomasatdatabricks <33237569+tomasatdatabricks@users.noreply.github.com> Co-authored-by: dbczumar <39497902+dbczumar@users.noreply.github.com> Co-authored-by: Siddharth Murching <smurching@gmail.com> Co-authored-by: Mani Parkhe <mani@databricks.com> Co-authored-by: juntai-zheng <39497939+juntai-zheng@users.noreply.github.com>
lorenzwalthert
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Jan 4, 2020
* registry.html points to model-registry.html
avflor
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Aug 22, 2020
* registry.html points to model-registry.html
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What changes are proposed in this pull request?
Create a new
registry.rstthat points tomodel-registry.rstHow is this patch tested?
make livehtmlonly one link shows up on
index.htmlcc: @clemens-db, @stbof
Release Notes
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rn/breaking-change- The PR will be mentioned in the "Breaking Changes" sectionrn/none- No description will be included. The PR will be mentioned only by the PR number in the "Small Bugfixes and Documentation Updates" sectionrn/feature- A new user-facing feature worth mentioning in the release notesrn/bug-fix- A user-facing bug fix worth mentioning in the release notesrn/documentation- A user-facing documentation change worth mentioning in the release notes