This release is a pre-release and may not be stable for production use.
About foresee
Provided a time series and a few parameters, foresee can generate forecasts using several time series forecasting models in python and if requested, it can find the best model and results using out of sample forecast accuracy.
Example
before installation
try it out at: https://easy-forecast.herokuapp.com/
after installation
basic example, one-column dataframe, no UI
basic example, multi-column dataframe, no UI
Documentation
installation
pip install foresee
Contributing
Contributions in any form are welcome, including:
- Documentation improvements
- Additional tests
- New features to existing models
- New models
Discussions take place at foresee channel on slack
Bug Reports
Bug reports can be submitted to the issue tracker at
1 maintainer
Metadata
1 maintainer
Release files for foresee 0.1.0a9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| foresee-0.1.0a9.tar.gz | 58.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| foresee-0.1.0a9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 128.0 kB
Release files / foresee-0.1.0a9.tar.gz
| Download URL | foresee-0.1.0a9.tar.gz |
|---|---|
| Size | 58.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/3.1.1 pkginfo/1.4.2 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.6.5
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Release files / foresee-0.1.0a9-py3-none-any.whl
| Download URL | foresee-0.1.0a9-py3-none-any.whl |
|---|---|
| Size | 70.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.4.2 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.6.5
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