predict-ably
A Python module for time-series forecasting that seeks to provide high-level functionality similar to R's fable and forecast packages
Where functionality already exists in Python the goal is to provide a consistent API wrapper that fits with scikit-learn and standard forecasting practice.
To that extent, the project will leverage some of the code used in Alan-Turing Institute's sktime (https://github.com/alan-turing-institute/sktime).
Plan to add hierarchical reconciliation along the lines of:
Metadata
Release files for predictably 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| predictably-0.1.4.tar.gz | 2.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| predictably-0.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.6 kB
Release files / predictably-0.1.4.tar.gz
| Download URL | predictably-0.1.4.tar.gz |
|---|---|
| Size | 2.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0.post20200210 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6
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Release files / predictably-0.1.4-py3-none-any.whl
| Download URL | predictably-0.1.4-py3-none-any.whl |
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| Size | 5.0 kB |
| Tags | Python 3 |
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twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0.post20200210 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6
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