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GitHub / DataCanvasIO / HyperTS
A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DataCanvasIO%2FHyperTS
Stars: 253
Forks: 27
Open Issues: 21
License: apache-2.0
Language: Python
Repo Size: 7.61 MB
Dependencies:
38
Created: over 2 years ago
Updated: 14 days ago
Last pushed: 2 months ago
Last synced: 9 days ago
Commit Stats
Commits: 551
Authors: 8
Mean commits per author: 68.88
Development Distribution Score: 0.201
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/DataCanvasIO/HyperTS
Topics: anomaly-detection, autodl, automl, autots, classification, covariates, forecasting, hyperparameter-optimization, iforest, inceptiontime, lstnet, meta-features, multivariate, nbeats, neural-architecture-search, prophet, regression, tensorflow, time-series
Files
Dependencies
- hypernets >=0.2.5.1,<0.2.6
- numpy >=1.16.5,<1.22
- pandas >=0.25.3
- prophet >=1.0.1
- scikit-learn >=0.22.1
- scipy *
- sktime >=0.8.1
- statsmodels >=0.12.1
- actions/checkout v2 composite
- actions/setup-python v2 composite
- hypernets *
- ipython *
- numpy *
- pandas *
- prophet *
- recommonmark *
- scikit-learn *
- scipy <1.8.0
- sktime ==0.8.1
- sphinx_rtd_theme *
- sphinxcontrib-mermaid *
- statsmodels ==0.12.1
- tensorflow ==2.4.0
- woodwork ==0.11.2
- hypernets *
- ipython *
- numpy *
- pandas *
- prophet *
- recommonmark *
- scikit-learn *
- scipy <1.8.0
- sktime ==0.8.1
- sphinx_rtd_theme *
- sphinxcontrib-mermaid *
- statsmodels ==0.12.1
- tensorflow ==2.4.0
- woodwork ==0.11.2