ML functions for SQL

This family of SQL functions can be used to complete end-to-end ML projects. It means the functions automatically:

• generate and deploy ML models;
• create necessary data projects and visualization;
• manage ML artifacts.

It's the easiest way to run forecast and churn analysis in Snowflake using the tools data teams are already familiar with, namely SQL and DBT.

Function list

• Forecast
  • univariate_time_series_forecast
  • train_binary_classifier
  • multivariate-time-series-forecast(WIP)