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Restyled by prettier (#3164)
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Co-authored-by: Restyled.io <[email protected]>
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restyled-io[bot] and restyled-commits authored Jan 10, 2022
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Expand Up @@ -122,10 +122,10 @@ Experiment results have been applied to your workspace.

### ℹ️ More information about (Hyper)parameters

It's pretty common for data science projects to include configuration files
that define adjustable parameters to train a model, adjust model architecture,
do pre-processing, etc. DVC provides a mechanism for stages to depend on the
specific variables from a file.
It's pretty common for data science projects to include configuration files that
define adjustable parameters to train a model, adjust model architecture, do
pre-processing, etc. DVC provides a mechanism for stages to depend on the
specific variables from a file.

By default, DVC assumes a parameters file named `params.yaml` is available in
your project. DVC parses this file and creates dependencies to the variables
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