From d8ba1f5c46a6e9ad249fbac507b9c34ff4277ae6 Mon Sep 17 00:00:00 2001 From: Jorge Orpinel Date: Wed, 12 Jan 2022 17:39:49 -0600 Subject: [PATCH] ref: remove motivation for using exp run Alrd in Running Exps --- content/docs/command-reference/exp/run.md | 5 ++--- .../user-guide/experiment-management/running-experiments.md | 2 +- 2 files changed, 3 insertions(+), 4 deletions(-) diff --git a/content/docs/command-reference/exp/run.md b/content/docs/command-reference/exp/run.md index 97c358dc90..a39404ce4e 100644 --- a/content/docs/command-reference/exp/run.md +++ b/content/docs/command-reference/exp/run.md @@ -26,9 +26,8 @@ directories, etc. > 📖 See full [Running Experiments] guide. Before running an experiment, you'll probably want to make modifications such as -data and code updates, or hyperparameter tuning. For the latter, -you can use the `--set-param` (`-S`) option of this command to change -`dvc param` values on-the fly. +parameter tuning. You can use the `--set-param` (`-S`) option to +change param values on-the fly. Each experiment creates and tracks a project variation based on your workspace changes. Experiments will have a unique, auto-generated diff --git a/content/docs/user-guide/experiment-management/running-experiments.md b/content/docs/user-guide/experiment-management/running-experiments.md index 0edca46ab0..313f5bd734 100644 --- a/content/docs/user-guide/experiment-management/running-experiments.md +++ b/content/docs/user-guide/experiment-management/running-experiments.md @@ -99,7 +99,7 @@ Going to reproduce stage: 'train'... continue? [y/n] ## (Hyper)parameters -Parameters are the values that modify the underlying code's +ML parameters are the values that modify the underlying code's behavior, producing different experiment results. Machine learning experimentation, for example, involves searching hyperparameters that improve the resulting model metrics.