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GitHub / Nixtla / hierarchicalforecast

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Nixtla%2Fhierarchicalforecast

Stars: 526
Forks: 61
Open Issues: 42

License: apache-2.0
Language: Python
Repo Size: 17.6 MB
Dependencies: 29

Created: almost 2 years ago
Updated: 13 days ago
Last pushed: about 1 month ago
Last synced: 12 days ago

Commit Stats

Commits: 327
Authors: 13
Mean commits per author: 25.15
Development Distribution Score: 0.388
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/Nixtla/hierarchicalforecast

Topics: baselines, bottomup, coherent, econometrics, erm, forecasting, forecasting-models, hierarchical, hierarchical-forecast, middleout, mint, permbu, probabilistic-models, python, reconciliation, statistics, time-series, time-series-forecasting, timeseries, topdown

Files
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    Readme
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    Dependencies
    .github/workflows/ci.yml actions
    .github/workflows/python-publish.yml actions
    action_files/test_models/requirements.txt pypi
    .github/workflows/build-docs.yaml actions
    .github/workflows/no-response.yaml actions
    .github/workflows/selfassign.yml actions
    experiments/libs-comparison/environment.yml conda
    environment.yml pypi
    experiments/hierarchical_baselines/environment.yml pypi
    setup.py pypi