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