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@arjundc-db arjundc-db released this 22 Apr 00:08
v1.8.0
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1.8.0 (2020-04-21)

MLflow 1.8.0 includes several major features and improvements:

Features:

  • Added mlflow.azureml.deploy API for deploying MLflow models to AzureML (#2375 @csteegz, #2711, @akshaya-a)
  • Added support for case-sensitive LIKE and case-insensitive ILIKE queries (e.g. 'params.framework LIKE '%sklearn%') with the SearchRuns API & UI when running against SQL backends (#2217, @t-henri; #2708, @mparkhe)
  • Improved line smoothing in MLflow metrics UI using exponential moving averages (#2620, @Valentyn1997)
  • Added mlflow.spacy module with support for logging and loading spaCy models (#2242, @arocketman)
  • Parameter values that differ across runs are highlighted in run comparison UI (#2565, @gabrielbretschner)
  • Added ability to compare source runs associated with model versions from the registered model UI (#2537, @juntai-zheng)
  • Added support for alphanumerical experiment IDs in the UI. (#2568, @jonas)
  • Added support for passing arguments to docker run when running docker-based MLflow projects (#2608, @ksanjeevan)
  • Added Windows support for mlflow sagemaker build-and-push-container CLI & API (#2500, @AndreyBulezyuk)
  • Improved performance of reading experiment data from local filesystem when LibYAML is installed (#2707, @Higgcz)
  • Added a healthcheck endpoint to the REST API server at /health that always returns a 200 response status code, to be used to verify health of the server (#2725, @crflynn)
  • MLflow metrics UI plots now scale to rendering thousands of points using scattergl (#2447, @mjlbach)

Bug fixes:

  • Fixed CLI summary message in mlflow azureml build_image CLI (#2712, @dbczumar)
  • Updated examples/flower_classifier/score_images_rest.py with multiple bug fixes (#2647, @tfurmston)
  • Fixed pip not found error while packaging models via mlflow models build-docker (#2699, @HiromuHota)
  • Fixed bug in mlflow.tensorflow.autolog causing erroneous deletion of TensorBoard logging directory (#2670, @dbczumar)
  • Fixed a bug that truncated the description of the mlflow gc subcommand in mlflow --help (#2679, @dbczumar)
  • Fixed bug where mlflow models build-docker was failing due to incorrect Miniconda download URL (#2685, @michaeltinsley)
  • Fixed a bug in S3 artifact logging functionality where MLFLOW_S3_ENDPOINT_URL was ignored (#2629, @poppash)
  • Fixed a bug where Sqlite in-memory was not working as a tracking backend store by modifying DB upgrade logic (#2667, @dbczumar)
  • Fixed a bug to allow numerical parameters with values >= 1000 in R mlflow::mlflow_run() API (#2665, @lorenzwalthert)
  • Fixed a bug where AWS creds was not found in the Windows platform due path differences (#2634, @AndreyBulezyuk)
  • Fixed a bug to add pip when necessary in _mlflow_conda_env (#2646, @tfurmston)
  • Fixed error code to be more meaningful if input to model version is incorrect (#2625, @andychow-db)
  • Fixed multiple bugs in model registry (#2638, @aarondav)
  • Fixed support for conda env dicts with mlflow.pyfunc.log_model (#2618, @dbczumar)
  • Fixed a bug where hiding the start time column in the UI would also hide run selection checkboxes (#2559, @harupy)

Documentation updates:

  • Added links to source code to mlflow.org (#2627, @harupy)
  • Documented fix for pandas-records payload (#2660, @SaiKiranBurle)
  • Fixed documentation bug in TensorFlow load_model utility (#2666, @pogil)
  • Added the missing Model Registry description and link on the first page (#2536, @dmatrix)
  • Added documentation for expected datatype for step argument in log_metric to match REST API (#2654, @mparkhe)
  • Added usage of the model registry to the log_model function in sklearn_elasticnet_wine/train.py example (#2609, @netanel246)

Small bug fixes and doc updates (#2594, @Trollgeir; #2703,#2709, @juntai-zheng; #2538, #2632, @keigohtr; #2656, #2553, @lorenzwalthert; #2622, @pingsutw; #2615, #2600, #2533, @mlflow-automation; #1391, @sueann; #2613, #2598, #2534, #2723, @smurching; #2652, #2710, @mparkhe; #2706, #2653, #2639, @tomasatdatabricks; #2611, @9dogs; #2700, #2705, @aarondav; #2675, #2540, @mengxr; #2686, @RensDimmendaal; #2694, #2695, #2532, @dbczumar; #2733, #2716, @harupy; #2726, @crflynn; #2582, #2687, @dmatrix)

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