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* [ ] ❗ I have followed the [Contributing to DVCLive](https://github.com/iterative/dvclive/blob/master/CONTRIBUTING.md) guide. | ||
- \[ \] ❗ I have followed the | ||
[Contributing to DVCLive](https://github.com/iterative/dvclive/blob/master/CONTRIBUTING.md) | ||
guide. | ||
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* [ ] 📖 If this PR requires [documentation](https://dvc.org/doc) updates, I have created a separate PR (or issue, at least) in [dvc.org](https://github.com/iterative/dvc.org) and linked it here. | ||
- \[ \] 📖 If this PR requires [documentation](https://dvc.org/doc) updates, I | ||
have created a separate PR (or issue, at least) in | ||
[dvc.org](https://github.com/iterative/dvc.org) and linked it here. | ||
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Thank you for the contribution - we'll try to review it as soon as possible. 🙏 |
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# DVCLive | ||
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[![PyPI](https://img.shields.io/pypi/v/dvclive.svg)](https://pypi.org/project/dvclive/) | ||
[![Status](https://img.shields.io/pypi/status/dvclive.svg)](https://pypi.org/project/dvclive/) | ||
[![Python Version](https://img.shields.io/pypi/pyversions/dvclive)](https://pypi.org/project/dvclive) | ||
[![License](https://img.shields.io/pypi/l/dvclive)](https://opensource.org/licenses/Apache-2.0) | ||
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[![Tests](https://github.com/iterative/dvclive/workflows/Tests/badge.svg?branch=main)](https://github.com/iterative/dvclive/actions?workflow=Tests) | ||
[![Codecov](https://codecov.io/gh/iterative/dvclive/branch/main/graph/badge.svg)](https://app.codecov.io/gh/iterative/dvclive) | ||
[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit) | ||
[![Black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) | ||
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DVCLive is a Python library for logging machine learning metrics and other | ||
metadata in simple file formats, which is fully compatible with DVC. | ||
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# [Documentation](https://dvc.org/doc/dvclive) | ||
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- [Get Started](https://dvc.org/doc/start/experiments) | ||
- [How it Works](https://dvc.org/doc/dvclive/how-it-works) | ||
- [API Reference](https://dvc.org/doc/dvclive/live) | ||
- [Integrations](https://dvc.org/doc/dvclive/ml-frameworks) | ||
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______________________________________________________________________ | ||
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# Quickstart | ||
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## Install *dvclive* | ||
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```console | ||
$ pip install dvclive | ||
``` | ||
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## Initialize DVC Repository | ||
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```console | ||
$ git init | ||
$ dvc init | ||
$ git commit -m "DVC init" | ||
``` | ||
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## Example code | ||
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Copy the snippet below as a basic example of the API usage: | ||
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```python | ||
# train.py | ||
import random | ||
import sys | ||
from dvclive import Live | ||
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with Live(save_dvc_exp=True) as live: | ||
epochs = int(sys.argv[1]) | ||
live.log_param("epochs", epochs) | ||
for epoch in range(epochs): | ||
live.log_metric("train/accuracy", epoch + random.random()) | ||
live.log_metric("train/loss", epochs - epoch - random.random()) | ||
live.log_metric("val/accuracy",epoch + random.random() ) | ||
live.log_metric("val/loss", epochs - epoch - random.random()) | ||
live.next_step() | ||
``` | ||
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See [Integrations](https://dvc.org/doc/dvclive/ml-frameworks) for examples using | ||
DVCLive alongside different ML Frameworks. | ||
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## Running | ||
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Run couple of times passing different values: | ||
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```console | ||
$ python train.py 5 | ||
$ python train.py 5 | ||
$ python train.py 7 | ||
``` | ||
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## Comparing | ||
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DVCLive outputs can be rendered in different ways: | ||
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### DVC CLI | ||
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You can use [dvc exp show](https://dvc.org/doc/command-reference/exp/show) and | ||
[dvc plots](https://dvc.org/doc/command-reference/plots) to compare and | ||
visualize metrics, parameters and plots across experiments: | ||
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```console | ||
$ dvc exp show | ||
``` | ||
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``` | ||
───────────────────────────────────────────────────────────────────────────────────────────────────────────── | ||
Experiment Created train.accuracy train.loss val.accuracy val.loss step epochs | ||
───────────────────────────────────────────────────────────────────────────────────────────────────────────── | ||
workspace - 6.0109 0.23311 6.062 0.24321 6 7 | ||
master 08:50 PM - - - - - - | ||
├── 4475845 [aulic-chiv] 08:56 PM 6.0109 0.23311 6.062 0.24321 6 7 | ||
├── 7d4cef7 [yarer-tods] 08:56 PM 4.8551 0.82012 4.5555 0.033533 4 5 | ||
└── d503f8e [curst-chad] 08:56 PM 4.9768 0.070585 4.0773 0.46639 4 5 | ||
───────────────────────────────────────────────────────────────────────────────────────────────────────────── | ||
``` | ||
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```console | ||
$ dvc plots diff $(dvc exp list --names-only) --open | ||
``` | ||
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![dvc plots diff](./docs/dvc_plots_diff.png) | ||
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### DVC Extension for VS Code | ||
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Inside the | ||
[DVC Extension for VS Code](https://marketplace.visualstudio.com/items?itemName=Iterative.dvc), | ||
you can compare and visualize results using the | ||
[Experiments](https://github.com/iterative/vscode-dvc/blob/main/extension/resources/walkthrough/experiments-table.md) | ||
and | ||
[Plots](https://github.com/iterative/vscode-dvc/blob/main/extension/resources/walkthrough/plots.md) | ||
views: | ||
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![VSCode Experiments](./docs/vscode_experiments.png) | ||
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![VSCode Plots](./docs/vscode_plots.png) | ||
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While experiments are running, live updates will be displayed in both views. | ||
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### DVC Studio | ||
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If you push the results to [DVC Studio](https://dvc.org/doc/studio), you can | ||
compare experiments against the entire repo history: | ||
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![Studio Compare](./docs/studio_compare.png) | ||
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You can enable | ||
[Studio Live Experiments](https://dvc.org/doc/studio/user-guide/projects-and-experiments/live-metrics-and-plots) | ||
to see live updates while experiments are running. | ||
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______________________________________________________________________ | ||
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# Comparison to related technologies | ||
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**DVCLive** is an *ML Logger*, similar to: | ||
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- [MLFlow](https://mlflow.org/) | ||
- [Weights & Biases](https://wandb.ai/site) | ||
- [Neptune](https://neptune.ai/) | ||
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The main difference with those *ML Loggers* is that **DVCLive** does not | ||
**require** any additional services or servers to run. | ||
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Logged metrics, parameters, and plots are stored as plain text files that can be | ||
versioned by tools like Git or tracked as pointers to files in DVC storage. | ||
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You can then use different [options](#comparing) to visualize the metrics, | ||
parameters, and plots across experiments. | ||
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______________________________________________________________________ | ||
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# Contributing | ||
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Contributions are very welcome. To learn more, see the | ||
[Contributor Guide](CONTRIBUTING.rst). | ||
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# License | ||
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Distributed under the terms of the | ||
[Apache 2.0 license](https://opensource.org/licenses/Apache-2.0), *dvclive* is | ||
free and open source software. |
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