Anomaly Detection for Python
Introduction
Twitter's Anomaly Detection is easy to use, but it's a R library.
Although there are some repos for python to run twitter's anomaly detection algorithm, but those libraies requires R installed.
This repo aims for rewriting twitter's Anomaly Detection algorithms in Python, and providing same functions for user.
Install
pip3 install tad
1 maintainer
Metadata
1 maintainer
Release files for tad 0.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tad-0.0.6.tar.gz | 9.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tad-0.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 26.1 kB
Release files / tad-0.0.6.tar.gz
| Download URL | tad-0.0.6.tar.gz |
|---|---|
| Size | 9.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
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Release files / tad-0.0.6-py3-none-any.whl
| Download URL | tad-0.0.6-py3-none-any.whl |
|---|---|
| Size | 16.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
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