Using IntegratedML

What problem does it solve?

This Skill simplifies the process of integrating machine learning into applications by allowing users to create, train, and deploy predictive models directly within a SQL environment, eliminating the need for specialized ML expertise or complex data pipelines.

Core Features & Use Cases

• SQL-based Model Creation: Define model structures using CREATE MODEL statements.
• Automated Model Training: Train models using various providers (AutoML, H2O, DataRobot) with TRAIN MODEL.
• Model Validation & Prediction: Evaluate model performance with VALIDATE MODEL and make predictions using PREDICT and PROBABILITY functions.
• Use Case: A business analyst can predict customer churn by training a classification model on historical customer data using SQL, without writing Python code.

Quick Start

Use the Using IntegratedML skill to create a model named 'CustomerChurn' predicting the 'Churn' column from the 'CustomerData' table.