# About arimafd
Arimafd is a Python package that provides algorithms for online prediction and anomaly detection. One of the applications of this package can be the early detection of faults in technical systems.
# Main Features
Differentiation and integration of series including seasonal components
Finding best hyperparametrs for ARIMA model
Online forecasting based on ARIMA model
Anomaly detection
Evaluating score of anomaly detection algorithms
# How to get it The master branch on GitHub
https://github.com/waico/arimafd
Binaries and source distributions are available from PyPi
https://pypi.org/project/arimafd/
# Get started
Installation through [PyPi](https://pypi.org/project/tsad):
pip install -U arimafd
# License
MIT
1 maintainer
Metadata
1 maintainer
Release files for arimafd 1.4.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| arimafd-1.4.1.tar.gz | 9.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| arimafd-1.4.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 21.3 kB
Release files / arimafd-1.4.1.tar.gz
| Download URL | arimafd-1.4.1.tar.gz |
|---|---|
| Size | 9.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.6.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.5
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Release files / arimafd-1.4.1-py3-none-any.whl
| Download URL | arimafd-1.4.1-py3-none-any.whl |
|---|---|
| Size | 11.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.6.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.5
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