statsmodels. The mlflow.statsmodels module provides an API for logging and loading statsmodels models. This module exports statsmodels models with the following ...MLflowQuickstartTutorialsandExamplesConceptsMLflowTrackingMLflowProjectsMLflowModelsMLflowModelRegistryMLflowPluginsCommand-LineInterfaceSearchPythonAPImlflowmlflow.azuremlmlflow.catboostmlflow.deploymentsmlflow.entitiesmlflow.fastaimlflow.gluonmlflow.h2omlflow.kerasmlflow.lightgbmmlflow.mleapmlflow.modelsmlflow.onnxmlflow.paddlemlflow.projectsmlflow.pyfuncmlflow.pyspark.mlmlflow.pytorchmlflow.sagemakermlflow.shapmlflow.sklearnmlflow.spacymlflow.sparkmlflow.statsmodelsmlflow.tensorflowmlflow.trackingmlflow.typesmlflow.xgboostRAPIJavaAPIRESTAPIContributeDocumentationPythonAPImlflow.statsmodelsEditonGitHubmlflow.statsmodelsThemlflow.statsmodelsmoduleprovidesanAPIforloggingandloadingstatsmodelsmodels.Thismoduleexportsstatsmodelsmodelswiththefollowingflavors:statsmodels(native)formatThisisthemainflavorthatcanbeloadedbackintostatsmodels,whichreliesonpickleinternallytoserializeamodel.mlflow.pyfuncProducedforusebygenericpyfunc-baseddeploymenttoolsandbatchinference.classmlflow.statsmodels.AutologHelpers[source]Bases:objectshould_autolog=Truemlflow.statsmodels.autolog(log_models=True,disable=False,exclusive=False,disable_for_unsupported_versions=False,silent=False)[source]NoteExperimental:Thismethodmaychangeorberemovedinafuturereleasewithoutwarning.NoteAutologgingisknowntobecompatiblewiththefollowingpackageversions:0.11.1<=statsmodels<=0.12.2.Autologgingmaynotsucceedwhenusedwithpackageversionsoutsideofthisrange.Enables(ordisables)andconfiguresautomaticloggingfromstatsmodelstoMLflow.Logsthefollowing:resultsmetricsreturnedbymethodfitofanysubclassofstatsmodels.base.model.Modeltrainedmodel.Parameterslog_models–IfTrue,trainedmodelsareloggedasMLflowmodelartifacts.IfFalse,trainedmodelsarenotlogged.Inputexamplesandmodelsignatures,whichareattributesofMLflowmodels,arealsoomittedwhenlog_modelsisFalse.disable–IfTrue,disablest