Welcome to ADSoft library.
ADSoft was designed to help all people with analyzing timeseries data and anomaly detection.
Versions history:
v 0.0.1
- added simple functionality
- added LineRegressLags
v 0.0.2
- Added SARIMA model
- Add TrendChange model
v 0.0.3
- add Utils with:
- TSPlot
- Seasonal decompose
- Time series split
v 0.0.4
- add TimeLineData class
1 maintainer
Metadata
1 maintainer
Release files for ADSoft 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| adsoft-0.0.4.tar.gz | 60.8 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| adsoft-0.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 60.8 MB
Release files / adsoft-0.0.4.tar.gz
| Download URL | adsoft-0.0.4.tar.gz |
|---|---|
| Size | 60.8 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.2
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Release files / adsoft-0.0.4-py3-none-any.whl
| Download URL | adsoft-0.0.4-py3-none-any.whl |
|---|---|
| Size | 13.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
48de773ad80fed1f9c7841e67b5be3696769a1239707517694098bf12743b779
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BLAKE2b-256 checksum How to use checksums |
dbf7ec06f205cf4d0a6563553032637a4d97cfa3b3057300400e8b1ac1047c9f
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.2
|
Security for ADSoft 0.0.4
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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