'{0}' is required for package management. Please make sure it is installed and set up correctly. ... Action Add new Are you sure you want to delete model '{0}? Are you sure you want to install required packages? Azure ML workspace Azure Machine Learning Azure account Azure models Azure sign in or refresh account Azure subscription Cancel Cannot find Python executable '{0}'. Please make sure Python is installed and configured correctly Cannot find R executable '{0}'. Please make sure R is installed and configured correctly Click to review warning details Close Config Could not find the specified resource Create notebook Database Date created Date imported Delete Description Differences in data type Disable Display name Downloading Downloading Model from Azure Edit Edit model Enable Enabled Enter model details Environment variables Error while downloading Error: {0} Existing table Extension file Name External Execute Script External script configuration is required for this action. External script is required for package management. Are you sure you want to enable that. Failed to complete task '{0}'. Error: {1} Failed to enable External script. Failed to get installed python packages. Error: {0} Failed to install language Failed to load model parameters' Failed to modify Machine Learning Services configurations Failed to register the model: {0} ,file: {1} Failed to update language Failed to update the model Failed to update the model File File Browser File paths of the models to import File upload Filter Framework Framework version Generate a predicted value or scores using a managed model Get started with Machine Learning Services in Azure SQL Managed Instances. Get started with Machine Learning Services on SQL Server and how to install it on Windows and Linux. Get started with machine learning in Azure SQL Database Edge Import Import from Azure Machine Learning Import models Import or view machine learning models stored in database Import or view models Imported models Install Install the Microsoft ODBC driver for SQL Server Installed Installed Installing dependencies ... Installing required packages ... Invalid Azure resource Invalid model id. model url: {0} Invalid model to predict Invalid model to register Invalid table for importing models. database name: {0} ,table name: {1} Invalid table structure! Language extension location Language extension path Languages Latest Learn how to use Machine Learning extension in Azure Data Studio, to manage packages, make predictions, and import models. Learn how to use machine learning in SQL Server and SQL on Azure, to run Python and R scripts on relational data. Learn more Learn more. Local models MSSQL extension is not loaded Machine Learning Machine Learning Services Enabled Machine Learning Services in Azure SQL Managed Instance Machine Learning extension in Azure Data Studio Machine Learning for SQL databases Machine Learning models can be stored in one or more databases and tables. Select the model database and table to view the models within them. Machine learning and AI with ONNX in SQL Database Edge Preview Make predictions Map source data to model Model Input mapping Model doesn't have any artifact. model url: {0} Model failed to register Model input Model name is required. Model output Model registered successfully Model updated successfully Models Models Name Name Name New table No No Result returned No connection selected No models found No models found Not supported event args Notebook extension is not loaded OK ONNX runtime is not supported in current server Package info request failed with error: {0} {1} Package management is not supported for the server. Make sure you have Python or R installed. Parameters Platform Please select a valid model Please select a valid table Please select at least one model to import. Please select valid source table and model parameters Predict Python Python executable is not configured R R executable is not configured Required packages are already installed. Resource group Run experiments and create models in a notebook SQL Server Machine Learning Services (Python and R) SQL machine learning documentation Save Select Database Select a database to store the new model. Select a database where existing / imported models are stored. Select a model table to view the list of existing / imported models. Select an existing table that conforms the model schema or create a new one to store the imported model. Select another Azure ML workspace Select another database or table Select column... Select database Select database with models Select imported model Select model source type Select models table Select or enter the location to import the models to Select table Select table Select tables with models Select the database containing the dataset to apply the prediction. Select the table containing the dataset to apply the prediction. Selected Path Show less Show more Showing {0} model(s) Source columns Source database Source files Source location Source table Table Table meets requirements! Table schema is not supported for model import. Database name: {0}, table name: {1}. Target The data type of output column does not match the output field’s type. The data type of the source table column does not match the required input field’s type. The extension failed to load because of it's dependency to Notebook extension. Please check the output log for Notebook extension to get more details The following Python packages are required to install: {0} The following R packages are required to install: {0} The models are stored in one or more databases and tables. Select the model database and table to view models in them. The required packages are not installed This document explains how to install the Microsoft ODBC Driver for SQL Server. Type Upload model file Useful links Verifying model management dependencies Verifying package management dependencies Version Video tutorials View and import models Yes localhost unsupported ‘Azure Machine Learning’ is selected. This allows you to choose from models stored in Azure Machine Learning workspaces. Click ‘Next’ to continue.​ ‘Azure Machine Learning’ is selected. This allows you to import models stored in Azure Machine Learning workspaces in a model database in this SQL instance. Click ‘Next’ to continue.​​ ‘File Upload’ is selected. This allows you to import a model file from your local machine into a model database in this SQL instance. Click ‘Next’ to continue.​ ‘File Upload’ is selected. This allows you to upload a model file from your local machine. Click ‘Next’ to continue.​​ ‘Imported Models’ is selected. This allows you to choose from models stored in a model table in your database. Click ‘Next’ to continue.​ Configurations Documents Enable External script Enable Python package management in database. Enable R package management in database. Endpoints Import model Install Machine Learning Dependencies Local path to a preexisting Python installation used by Machine Learning. Local path to a preexisting R installation used by Machine Learning. Machine Learning Machine Learning Machine Learning Configurations Make prediction Manage external languages Manage models Manage packages in database Tasks