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experimenting using pipelines
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omesser committed Apr 12, 2023
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2 changes: 1 addition & 1 deletion content/docs/sidebar.json
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"slug": "experiments",
"source": false,
"children": [
"experiment-live-tracking",
"experiment-tracking",
"experiment-pipelines",
"experiment-collaboration"
]
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---
title: 'Get Started: Experiment Live Tracking'
title: 'Get Started: Experiment Tracking'
description:
'Track the changes to the code, data, metrics, parameters and plots associated
with each experiment, without bloating your Git repo.'
'Track changes to code, data, metrics, parameters and plots associated with
each experiment, without bloating your Git repo.'
---

# Get Started: Experiment Live Tracking
# Get Started: Experiment Tracking

Tools like [Jupyter Notebooks](https://jupyter.org/) are useful for rapid
prototyping, but it's hard to keep track of changes and reproduce experiments.
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32 changes: 16 additions & 16 deletions content/docs/start/index.md
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Expand Up @@ -109,22 +109,22 @@ The steps and results of some of these chapters are captured in our

## Experiment Management

- **[Experiment live tracking]** - Instrument your code to quickly start
tracking experiments. Manage changes to code, data, metrics, parameters and
plots associated with each experiment without bloating your Git repo.

- **[Experiment collaboration]** - Manage experiments the same way developers
manage code. Share experiments with your team over git, create branches and
pull requests, and compare results.

- **[Experiment pipelines]** - Leverage DVC data pipelines as an experiment
management system. Split your workflow into stages, track dependencies and
outputs, and natively inject parameters and hyper-parameters to experiment
runs.

[experiment live tracking]: /doc/start/experiments/experiment-live-tracking
[experiment collaboration]: /doc/start/experiments/experiment-collaboration
[experiment pipelines]: /doc/start/experiments/experiment-pipelines
- **[Experiment tracking]** - Instrument your code to quickly start tracking
experiments. Manage changes to code, data, metrics, parameters and plots
associated with each experiment without bloating your Git repo.

- **[Collaborating on experiments]** - Manage experiments the same way
developers manage code. Share experiments with your team over git, create
branches and pull requests, and compare results.

- **[Experimenting using pipelines]** - Leverage DVC data pipelines as an
experiment management system. Split your workflow into stages, track
dependencies and outputs, and natively inject parameters and hyper-parameters
to experiment runs.

[experiment tracking]: /doc/start/experiments/experiment-tracking
[collaborating on experiments]: /doc/start/experiments/experiment-collaboration
[experimenting using pipelines]: /doc/start/experiments/experiment-pipelines

<admon type="tip">

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