From ecbf34dfb283d31ef848610996ed5fac3c9c0008 Mon Sep 17 00:00:00 2001 From: James Weakley Date: Sun, 2 Jul 2023 16:20:09 +1000 Subject: [PATCH] Update README.md --- README.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/README.md b/README.md index f5ed14a..f47fa93 100644 --- a/README.md +++ b/README.md @@ -6,6 +6,10 @@ The package contains a set of macros that mirror the functionality of the [sciki Currently they have been tested in Snowflake, Redshift , BigQuery, SQL Server and PostgreSQL 13.2. The test case expectations have been built using scikit-learn (see *.py in [integration_tests/data/sql](integration_tests/data/sql)), so you can expect behavioural parity with it. +| :warning: There are now several better alternatives to this repository. If you're using Snowflake, they now offer the snowflake-ml-python package which is fully supported and much more comprehensive. Within dbt, the Python models feature allows Snowflake, BigQuery and Databricks users to use scikit-learn directly | +| --- | + + The macros are: | scikit-learn function | macro name | Snowflake | BigQuery | Redshift | MSSQL | PostgreSQL | Example |