SQL Server Machine Learning Services
GPTKB entity
Statements (52)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:software
|
| gptkbp:allows |
execution of R and Python scripts inside SQL Server
|
| gptkbp:canBe |
gptkb:dictionary
gptkb:transformation statistical analysis time series analysis data exploration recommendation systems regression clustering feature engineering anomaly detection model deployment model evaluation forecasting predictive modeling text analytics real-time scoring batch scoring image analytics |
| gptkbp:canBeDeployedOn |
pre-trained models
custom models |
| gptkbp:developedBy |
gptkb:Microsoft
|
| gptkbp:documentation |
https://docs.microsoft.com/en-us/sql/advanced-analytics/sql-server-machine-learning-services
|
| gptkbp:enables |
advanced analytics
machine learning model training in-database analytics machine learning model scoring |
| gptkbp:formerName |
SQL Server R Services
|
| https://www.w3.org/2000/01/rdf-schema#label |
SQL Server Machine Learning Services
|
| gptkbp:integratesWith |
gptkb:SQL_Server_Management_Studio
gptkb:Azure_Machine_Learning |
| gptkbp:introducedIn |
gptkb:SQL_Server_2016
|
| gptkbp:partOf |
gptkb:Microsoft_SQL_Server
|
| gptkbp:requires |
enabling external scripts
|
| gptkbp:runsOn |
gptkb:Windows
gptkb:Linux |
| gptkbp:supports |
gptkb:data_visualization
predictive analytics data preparation parallel execution MicrosoftML package native scoring reproducible R revoscaleR package revoscalepy package |
| gptkbp:supportsLanguage |
gptkb:Python
R |
| gptkbp:uses |
external script execution
|
| gptkbp:bfsParent |
gptkb:SQL_Server_2017
gptkb:SQL_Server_(mssql) |
| gptkbp:bfsLayer |
7
|