test: add training whitespace

content/docs/start/metrics-parameters-plots.md

@@ -141,7 +141,7 @@ which will be useful for comparison: parameters.
 
 ## Defining stage parameters
 
-It's pretty common for data science pipelines to include configuration files
+It's pretty common for data science pipelines to include configuration files 
 that define adjustable parameters to train a model, do pre-processing, etc. DVC
 provides a mechanism for stages to depend on the values of specific sections of
 such a config file (YAML, JSON, TOML, and Python formats are supported).