Automate GLM creation and deployment with Teradata ClearScape Analytics TD_GLM.
npx skills add https://github.com/teradata-labs/claude-cookbooks --skill td-glm
Please help me install this Agent Skill. Skill: td-glm Source: https://github.com/teradata-labs/claude-cookbooks/tree/main/skills/analytics/td-glm Command: npx skills add https://github.com/teradata-labs/claude-cookbooks --skill td-glm
This Skill automates the end-to-end process of building and deploying Generalized Linear Models (GLM) on Teradata Vantage, enabling powerful regression and classification analytics without manual SQL scripting.
Use the td-glm skill to analyze table: my_database.customer_data with target column: churn_flag.
High-intent search queries and answers about installing and using this skill.
You can build generalized linear models in Teradata Vantage without SQL by using this Skill to automate data preprocessing, model training, prediction, and evaluation via the TD_GLM function.
Yes, you can run logistic regression for customer churn prediction directly on Teradata. The Skill automates classification workflows using the TD_GLM function to process your in-database data.
The regression families supported for in-database analytics on Teradata ClearScape Analytics are Linear, Logistic, and Poisson regression, covering diverse classification and forecasting use cases.
Yes, you need Teradata Vantage with ClearScape Analytics enabled and appropriate database permissions to automate GLM training, feature engineering, prediction, and evaluation workflows.
The best way to forecast sales using a generalized linear model on large-scale database data is automating the complete pipeline with Teradata ClearScape Analytics to keep processing in-database.
TD_GLM limitations depend on your Teradata Vantage environment and database permissions. The Skill automates feature engineering and model evaluation but requires ClearScape Analytics to be properly enabled.
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