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Author:
Alberto Gutierrez
License:
MIT
Summary:
A framework for running forecasting models within a sliding/expanding window out-of-sample forecast fit (train/test) and prediction (forecasts). The package includes support of classical forecasting models, SK Learn supervised learning ML models, and TensorFlow deep learning models.
Latest version:
0.6.4
Required dependencies:
beautifulplots
|
numpy
|
pandas
|
pmdarima
|
regex
|
scikit-learn
|
scipy
|
statsmodels
|
tensorflow
|
xgboost
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