Apply suggestions from code review

TimShererWithAquent · msakande · web-flow · commit 2bae27cd8dcf · 2024-08-22T13:37:53.000-07:00
Co-authored-by: Mope Akande &lt;17515964+msakande@users.noreply.github.com&gt;
diff --git a/articles/machine-learning/how-to-convert-custom-model-to-mlflow.md b/articles/machine-learning/how-to-convert-custom-model-to-mlflow.md
@@ -90,7 +90,7 @@ conda_env = {
 }
 ```
 
-## Load the MLFlow formatted model and test predictions
+## Load the MLflow formatted model and test predictions
 
 After your environment is ready, pass the `SKlearnWrapper`, the Conda environment, and your newly created artifacts dictionary to the `mlflow.pyfunc.save_model()` method. Doing so saves the model to your disk.
 

Original file line number	Diff line number	Diff line change
`@@ -90,7 +90,7 @@ conda_env = {`
`90`	`90`	`}`
`91`	`91`	```
`92`	`92`
`93`		`-## Load the MLFlow formatted model and test predictions`
	`93`	`+## Load the MLflow formatted model and test predictions`
`94`	`94`
`95`	`95`	After your environment is ready, pass the `SKlearnWrapper`, the Conda environment, and your newly created artifacts dictionary to the `mlflow.pyfunc.save_model()` method. Doing so saves the model to your disk.
`96`	`96`