Industrial-time-series-analysis 2.2.1

A time series data analysis algorithm library for industrial scenarios

This is an algorithm library dedicated to industrial time series data analysis, including 5 types of algorithms, 20 algorithms, experimentally verified on actual industrial production data and public datasets, and 25 algorithm instances are formed, as follows

Type	Algorithm
Describe	MICAD,MOCAR,RBS,TSCA
Decide	Il_Std,Qcd,SDE_DK
Dianosse	MCFMAAE,MGAHGM
Forecast	MSNET,PID4LaTe,STD_Phy,STDNet,TDG4MSF,CGRAN,MMPNN,MCRN,TALS,MANO
Control	PMCCL

Quick Install

We recommend to first setup a clean Python environment for your project with Python 3.8+ using conda. Once your environment is set up you can install darts using pip:

pip install my-awesome-package

Dependencies

Python(>=3.8) Torch(>=1.12.0) Numpy(>=1.19.5) threadpoolctl(>=3.1.0) Scipy(>=1.6.0)