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https://github.com/neptune-ai/neptune-prophet
Experiment tracking for Prophet. 🧩 Log, organize, visualize and compare model parameters, forecasts, and more.
https://github.com/neptune-ai/neptune-prophet
collaboration dashboard facebook fbprophet forecasting ml mlops prophet python r series time time-series timeseries tracker training versioning
Last synced: about 2 months ago
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Experiment tracking for Prophet. 🧩 Log, organize, visualize and compare model parameters, forecasts, and more.
- Host: GitHub
- URL: https://github.com/neptune-ai/neptune-prophet
- Owner: neptune-ai
- License: apache-2.0
- Created: 2022-02-24T11:40:24.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2024-06-24T14:06:09.000Z (6 months ago)
- Last Synced: 2024-11-01T19:32:37.897Z (2 months ago)
- Topics: collaboration, dashboard, facebook, fbprophet, forecasting, ml, mlops, prophet, python, r, series, time, time-series, timeseries, tracker, training, versioning
- Language: Python
- Homepage: https://docs.neptune.ai/integrations/prophet/
- Size: 160 KB
- Stars: 3
- Watchers: 7
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
Awesome Lists containing this project
README
# Neptune + Prophet integration
Experiment tracking for Prophet-trained models.
## What will you get with this integration?
* Log, organize, visualize, and compare ML experiments in a single place
* Monitor model training live
* Version and query production-ready models and associated metadata (e.g., datasets)
* Collaborate with the team and across the organization
## What will be logged to Neptune?
* parameters,
* forecast data frames,
* residual diagnostic charts,
* [other metadata](https://docs.neptune.ai/logging/what_you_can_log)
## Resources
* [Documentation](https://docs.neptune.ai/integrations/prophet)
* [Code example on GitHub](https://github.com/neptune-ai/examples/tree/main/integrations-and-supported-tools/prophet/scripts)
* [Example project in the Neptune app](https://app.neptune.ai/o/common/org/fbprophet-integration/runs/details?viewId=standard-view&detailsTab=dashboard&dashboardId=Diagnostic-charts-5855c208-c4b8-4171-b065-d0e8802b1b60&shortId=FBPROP-3211&type=run)
* [Run example in Google Colab](https://colab.research.google.com/github/neptune-ai/examples/blob/main/integrations-and-supported-tools/prophet/notebooks/Neptune_prophet.ipynb)
## Example
### Before you start
- [Install and set up Neptune](https://docs.neptune.ai/setup/installation).
- Have Prophet installed.
### Installation
```
# On the command line
pip install neptune-prophet
```
### Logging example
```python
# In Python
import pandas as pd
from prophet import Prophet
import neptune
import neptune.integrations.prophet as npt_utils
# Start a run
run = neptune.init_run(project="common/fbprophet-integration", api_token=neptune.ANONYMOUS_API_TOKEN)
# Load dataset and fit model
dataset = pd.read_csv(
"https://raw.githubusercontent.com/facebook/prophet/main/examples/example_wp_log_peyton_manning.csv"
)
model = Prophet()
model.fit(dataset)
# Log summary metadata (including model, dataset, forecast and charts)
run["prophet_summary"] = npt_utils.create_summary(model=model, df=df, fcst=forecast)
# Stop the run
run.stop()
```
## Support
If you got stuck or simply want to talk to us, here are your options:
* Check our [FAQ page](https://docs.neptune.ai/getting_help).
* You can submit bug reports, feature requests, or contributions directly to the repository.
* Chat! In the Neptune app, click the blue message icon in the bottom-right corner and send a message. A real person will talk to you ASAP (typically very ASAP).
* You can just shoot us an email at [[email protected]](mailto:[email protected]).