From a389ae2d3225381c773a7ff5308630b6717bf06e Mon Sep 17 00:00:00 2001 From: Jethro Gaglione Date: Wed, 14 Feb 2024 20:27:26 -0600 Subject: [PATCH] add snippet test 2 --- docs/tutorials/single.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/tutorials/single.md b/docs/tutorials/single.md index 35acb78..846d81c 100644 --- a/docs/tutorials/single.md +++ b/docs/tutorials/single.md @@ -12,7 +12,7 @@ It is recommended to use MLflow's functionality in your training workflow, which First, an environment must be created with the appropriate Python version and necessary packages/libraries (please see the [quickstart](../quickstart.html) page for guidance on setting one up). We can then import the libraries necessary to train our model: ```python -{% include ../_includes/includesnippet filename='../modelScripts/testfile.py' starttext='from sklearn.model_selection' endtext='import RandomForestRegressor' %} +{% include _includes/includesnippet filename='modelScripts/testfile.py' starttext='from sklearn.model_selection' endtext='import RandomForestRegressor' %} ``` We import MLflow and activate the _autolog_ feature: