tsfeast
A collection of Scikit-Learn compatible time series transformers and tools.
Installation
pip install tsfeast
Documentation
Documentation hosted on Github Pages: https://chris-santiago.github.io/tsfeast/
1 maintainer
Metadata
1 maintainer
Release files for tsfeast 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| tsfeast-0.1.1.tar.gz | 34.0 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tsfeast-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 47.1 kB
Release files / tsfeast-0.1.1.tar.gz
| Download URL | tsfeast-0.1.1.tar.gz |
|---|---|
| Size | 34.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.15
|
Release files / tsfeast-0.1.1-py3-none-any.whl
| Download URL | tsfeast-0.1.1-py3-none-any.whl |
|---|---|
| Size | 13.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ae42087db2b3470392e3a87d355bdf89b45597b5cbc7bde80b7397843af33812
|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.15
|
Security for tsfeast 0.1.1
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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