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Author:
Josef Eiglsperger, Florian Haselbeck; Dominik G. Grimm
License:
MIT
Summary:
state-of-the-art and easy-to-use time series forecasting
Latest version:
0.0.7
Required dependencies:
bayesian_torch
|
blitz-bayesian-pytorch
|
changefinder
|
gpflow
|
joblib
|
matplotlib
|
numpy
|
optuna
|
pandas
|
pmdarima
|
scikit-learn
|
scipy
|
sqlalchemy
|
statsmodels
|
tables
|
tensorflow
|
tensorflow-probability
|
torch
|
xgboost
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