Time series processing framework and utilities for deep learning
Project description
TimeWarPY - Time Series Pre and Post Processing Methods
Background and Objective
TimeWarPy is a library I created because I kept running into time-series related pre and post processing that is discussed a lot in ML literature but not standardized in a popular ML library. Most industry related forecasting methods are not well suited for real-time deep learning architectures. TimeWarPy is a stab at making these operations both fast and convenient for real-time applications through an easy to use set of core processing objections.
Installation
TimeWarPY can be installed directly with PyPi or directly from source here
pip install timewarpy
General Use Case
Examples and Usage
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