https://mlflow.org/assets/js/4fc00333.d0c4c383.js

1"use strict";(self.webpackChunkwebsite=self.webpackChunkwebsite||[]).push([["1042"],{9619(e,l,i){i.r(l),i.d(l,{assets:()=>h,contentTitle:()=>s,default:()=>d,frontMatter:()=>n,metadata:()=>t,toc:()=>c});var t=i(85446),r=i(74848),o=i(28453);let n={title:"MLflow 2.0.1",slug:"2.0.1",authors:["mlflow-maintainers"]},s,h={authorsImageUrls:[void 0]},c=[];function a(e){let l={a:"a",code:"code",li:"li",p:"p",ul:"ul",...(0,o.R)(),...e.components};return(0,r.jsxs)(r.Fragment,{children:[(0,r.jsxs)(l.p,{children:["We are happy to announce the availability of ",(0,r.jsx)(l.a,{href:"https://github.com/mlflow/mlflow/releases/tag/v2.0.1",children:"MLflow 2.0.1"}),"!"]}),"\n",(0,r.jsxs)(l.p,{children:["The 2.0.1 version of MLflow is a major milestone release that focuses on simplifying the management of end-to-end MLOps workflows, providing new feature-rich functionality, and expanding upon the production-ready MLOps capabilities offered by MLflow. Check out the ",(0,r.jsx)(l.a,{href:"https://www.linuxfoundation.org/blog/announcing-availability-of-mlflow-2.0",children:"MLflow 2.0 blog post"}),"\nfor an in-depth walk through!"]}),"\n",(0,r.jsx)(l.p,{children:"This release contains several important breaking changes from the 1.x API, additional major features and improvements."}),"\n",(0,r.jsx)(l.p,{children:"Features:"}),"\n",(0,r.jsxs)(l.ul,{children:["\n",(0,r.jsx)(l.li,{children:"[Recipes] MLflow Pipelines is now MLflow Recipes - a framework that enables data scientists to quickly develop high-quality models and deploy them to production"}),"\n",(0,r.jsxs)(l.li,{children:["[Recipes] Add support for classification models to MLflow Recipes (",(0,r.jsx)(l.a,{href:"https://github.com/mlflow/mlflow/pull/7082",children:"#7082"}),", ",(0,r.jsx)(l.a,{href:"https://github.com/bbarnes52",children:"@bbarnes52"}),")"]}),"\n",(0,r.jsxs)(l.li,{children:["[UI] Introduce support for pinning runs within the experiments UI (",(0,r.jsx)(l.a,{href:"https://github.com/mlflow/mlflow/pull/7177",children:"#7177"}),", ",(0,r.jsx)(l.a,{href:"https://github.com/harupy",children:"@harupy"}),")"]}),"\n",(0,r.jsxs)(l.li,{children:["[UI] Simplify the layout and provide customized displays of metrics, parameters, and tags within the experiments UI (",(0,r.jsx)(l.a,{href:"https://github.com/mlflow/mlflow/pull/7177",children:"#7177"}),", ",(0,r.jsx)(l.a,{href:"https://github.com/harupy",children:"@harupy"}),")"]}),"\n",(0,r.jsxs)(l.li,{children:["[UI] Simplify run filtering and ordering of runs within the experiments UI (",(0,r.jsx)(l.a,{href:"https://github.com/mlflow/mlflow/pull/7177",children:"#7177"}),", ",(0,r.jsx)(l.a,{href:"https://github.com/harupy",children:"@harupy"}),")"]}),"\n",(0,r.jsxs)(l.li,{children:["[Tracking] Update ",(0,r.jsx)(l.code,{children:"mlflow.pyfunc.get_model_dependencies()"})," to download all referenced requirements files for specified models (",(0,r.jsx)(l.a,{href:"https://github.com/mlflow/mlflow/pull/6733",children:"#6733"}),", ",(0,r.jsx)(l.a,{href:"https://github.com/harupy",children:"@harupy"}),")"]}),"\n",(0,r.jsxs)(l.li,{children:["[Tracking] Add support for selecting the Keras model ",(0,r.jsx)(l.code,{children:"save_format"})," used by ",(0,r.jsx)(l.code,{children:"mlflow.tensorflow.autolog()"})," (",(0,r.jsx)(l.a,{href:"https://github.com/mlflow/mlflow/pull/7123",children:"#7123"}),", ",(0,r.jsx)(l.a,{href:"https://github.com/balvisio",children:"@balvisio"}),")"]}),"\n",(0,r.jsxs)(l.li,{children:["[Models] Set ",(0,r.jsx)(l.code,{children:"mlflow.evaluate()"})," status to stable as it is now a production-ready API"]}),"\n",(0,r.jsxs)(l.li,{children:["[Models] Simplify APIs for specifying custom metrics and custom artifacts during model evaluation with ",(0,r.jsx)(l.code,{children:"mlflow.evaluate()"})," (",(0,r.jsx)(l.a,{href:"https://github.com/mlflow/mlflow/pull/7142",children:"#7142"}),", ",(0,r.jsx)(l.a,{href:"https://github.com/harupy",children:"@harupy"}),")"]}),"\n",(0,r.jsxs)(l.li,{children:["[Models] Correctly infer the positive label for binary classification within ",(0,r.jsx)(l.code,{children:"mlflow.evaluate()"})," (",(0,r.jsx)(l.a,{href:"https://github.com/mlflow/mlflow/pull/7149",children:"#7149"}),", ",(0,r.jsx)(l.a,{href:"https://github.com/dbczumar",children:"@dbczumar"}),")"]}),"\n",(0,r.jsxs)(l.li,{children:["[Models] Enable automated signature logging for ",(0,r.jsx)(l.code,{children:"tensorflow"})," and ",(0,r.jsx)(l.code,{children:"keras"})," models when ",(0,r.jsx)(l.code,{children:"mlflow.tensorflow.autolog()"})," is enabled (",(0,r.jsx)(l.a,{href:"https://github.com/mlflow/mlflow/pull/6678",children:"#6678"}),", ",(0,r.jsx)(l.a,{href:"https://github.com/BenWilson2",children:"@BenWilson2"}),")"]}),"\n",(0,r.jsxs)(l.li,{children:["[Models] Add support for native Keras and Tensorflow Core models within ",(0,r.jsx)(l.code,{children:"mlflow.tensorflow"})," (",(0,r.jsx)(l.a,{href:"https://github.com/mlflow/mlflow/pull/6530",children:"#6530"}),", ",(0,r.jsx)(l.a,{href:"https://github.com/WeichenXu123",children:"@WeichenXu123"}),")"]}),"\n",(0,r.jsxs)(l.li,{children:["[Models] Add support for defining the ",(0,r.jsx)(l.code,{children:"model_format"})," used by ",(0,r.jsx)(l.code,{children:"mlflow.xgboost.save/log_model()"})," (",(0,r.jsx)(l.a,{href:"https://github.com/mlflow/mlflow/pull/7068",children:"#7068"}),", ",(0,r.jsx)(l.a,{href:"https://github.com/AvikantSrivastava",children:"@AvikantSrivastava"}),")"]}),"\n",(0,r.jsxs)(l.li,{children:["[Scoring] Overhaul the model scoring REST API to introduce format indicators for inputs and support multiple output fields (",(0,r.jsx)(l.a,{href:"https://github.com/mlflow/mlflow/pull/6575",children:"#6575"}),", ",(0,r.jsx)(l.a,{href:"https://github.com/tomasatdatabricks",children:"@tomasatdatabricks"}),"; ",(0,r.jsx)(l.a,{href:"https://github.com/mlflow/mlflow/pull/7254",children:"#7254"}),", ",(0,r.jsx)(l.a,{href:"https://github.com/adriangonz",children:"@adriangonz"}),")"]}),"\n",(0,r.jsxs)(l.li,{children:["[Scoring] Add support for ragged arrays in model signatures (",(0,r.jsx)(l.a,{href:"https://github.com/mlflow/mlflow/pull/7135",children:"#7135"}),", ",(0,r.jsx)(l.a,{href:"https://github.com/trangevi",children:"@trangevi"}),")"]}),"\n",(0,r.jsxs)(l.li,{children:["[Java] Add ",(0,r.jsx)(l.code,{children:"getModelVersion"})," API to the java client (",(0,r.jsx)(l.a,{href:"https://github.com/mlflow/mlflow/pull/6955",children:"#6955"}),", ",(0,r.jsx)(l.a,{href:"https://github.com/wgottschalk",children:"@wgottschalk"}),")"]}),"\n"]}),"\n",(0,r.jsx)(l.p,{children:"Breaking Changes:"}),"\n",(0,r.jsx)(l.p,{children:"The following list of breaking changes are arranged by their order of significance within each category."}),"\n",(0,r.jsxs)(l.ul,{children:["\n",(0,r.jsx)(l.li,{children:"[Core] Support for Python 3.7 has been dropped. 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",(0,r.jsx)(l.code,{children:"mlflow.evaluate()"})," model inputs to be specified as URIs (",(0,r.jsx)(l.a,{href:"https://github.com/mlflow/mlflow/pull/6670",children:"#6670"}),", ",(0,r.jsx)(l.a,{href:"https://github.com/harupy",children:"@harupy"}),")"]}),"\n",(0,r.jsxs)(l.li,{children:["[Models] Drop support for returning custom metrics and artifacts from the same function when using ",(0,r.jsx)(l.code,{children:"mlflow.evaluate()"}),", in favor of ",(0,r.jsx)(l.code,{children:"custom_artifacts"})," (",(0,r.jsx)(l.a,{href:"https://github.com/mlflow/mlflow/pull/7142",children:"#7142"}),", ",(0,r.jsx)(l.a,{href:"https://github.com/harupy",children:"@harupy"}),")"]}),"\n",(0,r.jsxs)(l.li,{children:["[Models] Extend ",(0,r.jsx)(l.code,{children:"PyFuncModel"})," spec to support ",(0,r.jsx)(l.code,{children:"conda"})," and ",(0,r.jsx)(l.code,{children:"virtualenv"})," subfields (",(0,r.jsx)(l.a,{href:"https://github.com/mlflow/mlflow/pull/6684",children:"#6684"}),", 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Replace the ",(0,r.jsx)(l.code,{children:"use_conda"})," argument with the ",(0,r.jsx)(l.code,{children:"env_manager"})," argument within the ",(0,r.jsx)(l.code,{children:"run"})," CLI command for MLflow Projects (",(0,r.jsx)(l.a,{href:"https://github.com/mlflow/mlflow/pull/6654",children:"#6654"}),", ",(0,r.jsx)(l.a,{href:"https://github.com/harupy",children:"@harupy"}),")"]}),"\n",(0,r.jsxs)(l.li,{children:["[Projects] Modify the MLflow Projects docker image build options by renaming ",(0,r.jsx)(l.code,{children:"--skip-image-build"})," to ",(0,r.jsx)(l.code,{children:"--build-image"})," with a default of ",(0,r.jsx)(l.code,{children:"False"})," (",(0,r.jsx)(l.a,{href:"https://github.com/mlflow/mlflow/pull/7011",children:"#7011"}),", ",(0,r.jsx)(l.a,{href:"https://github.com/harupy",children:"@harupy"}),")"]}),"\n",(0,r.jsxs)(l.li,{children:["[Integrations/Azure] Remove deprecated ",(0,r.jsx)(l.code,{children:"mlflow.azureml"})," modules from MLflow in favor of the ",(0,r.jsx)(l.code,{children:"azure-mlflow"})," deployment plugin (",(0,r.jsx)(l.a,{href:"https://github.com/mlflow/mlflow/pull/6691",children:"#6691"}),", ",(0,r.jsx)(l.a,{href:"https://github.com/BenWilson2",children:"@BenWilson2"}),")"]}

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