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