Treffer: TimeGym: Debugging for Time Series Modeling in Python

Title:
TimeGym: Debugging for Time Series Modeling in Python
Authors:
Seca, Diogo
Publication Year:
2021
Collection:
Computer Science
Subject Terms:
Computer Science - Machine Learning
Document Type:
Report Working Paper
Access URL:
http://arxiv.org/abs/2105.01404
Accession Number:
edsarx.2105.01404
Database:
arXiv

Weitere Informationen

We introduce the TimeGym Forecasting Debugging Toolkit, a Python library for testing and debugging time series forecasting pipelines. TimeGym simplifies the testing forecasting pipeline by providing generic tests for forecasting pipelines fresh out of the box. These tests are based on common modeling challenges of time series. Our library enables forecasters to apply a Test-Driven Development approach to forecast modeling, using specified oracles to generate artificial data with noise.
Comment: Paper and python package ongoing active development