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GitHub / cerlymarco / tspiral
A python package for time series forecasting with scikit-learn estimators.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cerlymarco%2Ftspiral
Stars: 151
Forks: 19
Open Issues: 0
License: mit
Language: Jupyter Notebook
Repo Size: 2.73 MB
Dependencies:
3
Created: almost 2 years ago
Updated: 20 days ago
Last pushed: about 2 months ago
Last synced: 3 days ago
Commit Stats
Commits: 22
Authors: 2
Mean commits per author: 11.0
Development Distribution Score: 0.136
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/cerlymarco/tspiral
Topics: autoregressive-forecasters, autoregressive-modeling, direct-forecasting, exogenous-predictors, forecasting, multivariate-forecasting, multivariate-timeseries, python, recursive-forecasting, scikit-learn, time-series, timeseries, timeseries-forecasting
Files
Dependencies
- numpy *
- scikit-learn >=0.24.2
- scipy *