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MLflow v1.11.0 Release Notes

Release Date: 2020-08-31 // over 3 years ago

  • MLflow 1.11.0 includes several major features and improvements:

    🔋 Features:

    • 🆕 New mlflow.sklearn.autolog() API for automatic logging of metrics, params, and models from scikit-learn model training (#3287, @harupy; #3323, #3358 @dbczumar)
    • 👍 Registered model & model version creation APIs now support specifying an initial description (#3271, @sueann)
    • 🌲 The R mlflow_log_model and mlflow_load_model APIs now support XGBoost models (#3085, @lorenzwalthert)
    • ⚙ New mlflow.list_run_infos fluent API for listing run metadata (#3183, @trangevi)
    • ➕ Added section for visualizing and comparing model schemas to model version and model-version-comparison UIs (#3209, @zhidongqu-db)
    • ✨ Enhanced support for using the model registry across Databricks workspaces: support for registering models to a Databricks workspace from outside the workspace (#3119, @sueann), tracking run-lineage of these models (#3128, #3164, @ankitmathur-db; #3187, @harupy), and calling mlflow.<flavor>.load_model against remote Databricks model registries (#3330, @sueann)
    • 💻 UI support for setting/deleting registered model and model version tags (#3187, @harupy)
    • 💻 UI support for archiving existing staging/production versions of a model when transitioning a new model version to staging/production (#3134, @harupy)

    🐛 Bug fixes and documentation updates:

    • 🛠 Fixed parsing of MLflow project parameter values containing'=' (#3347, @dbczumar)
    • 🛠 Fixed a bug preventing listing of WASBS artifacts on the latest version of Azure Blob Storage (12.4.0) (#3348, @dbczumar)
    • 🛠 Fixed a bug where artifact locations become malformed when using an SFTP file store in Windows (#3168, @harupy)
    • 🛠 Fixed bug where list_artifacts returned incorrect results on GCS, preventing e.g. loading SparkML models from GCS (#3242, @santosh1994)
    • Writing and reading artifacts via MlflowClient to a DBFS location in a Databricks tracking server specified through the tracking_uri parameter during the initialization of MlflowClient now works properly (#3220, @sueann)
    • 🛠 Fixed bug where FTPArtifactRepository returned artifact locations as absolute paths, rather than paths relative to the artifact repository root (#3210, @shaneing), and bug where calling log_artifacts against an FTP artifact location copied the logged directory itself into the FTP location, rather than the contents of the directory.
    • 🛠 Fixed bug where Databricks project execution failed due to passing of GET request params as part of the request body rather than as query parameters (#2947, @cdemonchy-pro)
    • 🛠 Fix bug where artifact viewer did not correctly render PDFs in MLflow 1.10 (#3172, @ankitmathur-db)
    • 🛠 Fixed parsing of order_by arguments to MLflow search APIs when ordering by fields whose names contain spaces (#3118, @jdlesage)
    • 🛠 Fixed bug where MLflow model schema enforcement raised exceptions when validating string columns using pandas >= 1.0 (#3130, @harupy)
    • 🛠 Fixed bug where mlflow.spark.log_model did not save model signature and input examples (#3151, @harupy)
    • 🛠 Fixed bug in runs UI where tags table did not reflect deletion of tags. (#3135, @ParseDark)
    • ➕ Added example illustrating the use of RAPIDS with MLFlow (#3028, @drobison00)

    ⚡️ Small bug fixes and doc updates (#3326, #3344, #3314, #3289, #3225, #3288, #3279, #3265, #3263, #3260, #3255, #3267, #3266, #3264, #3256, #3253, #3231, #3245, #3191, #3238, #3192, #3188, #3189, #3180, #3178, #3166, #3181, #3142, #3165, #2960, #3129, #3244, #3359 @harupy; #3236, #3141, @AveshCSingh; #3295, #3163, @arjundc-db; #3241, #3200, @zhidongqu-db; #3338, #3275, @sueann; #3020, @magnus-m; #3322, #3219, @dmatrix; #3341, #3179, #3355, #3360, #3363 @smurching; #3124, @jdlesage; #3232, #3146, @ankitmathur-db; #3140, @andreakress; #3174, #3133, @mlflow-automation; #3062, @cafeal; #3193, @tomasatdatabricks; 3115, @fhoering; #3328, @apurva-koti; #3046, @OlivierBondu; #3194, #3158, @dmatrix; #3250, @shivp950; #3259, @simonhessner; #3357 @dbczumar)