We have hosted the application pmdarima in order to run this application in our online workstations with Wine or directly.


Quick description about pmdarima:

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

Features:
  • The equivalent of R's auto.arima functionality
  • A collection of statistical tests of stationarity and seasonality
  • Time series utilities, such as differencing and inverse differencing
  • Numerous endogenous and exogenous transformers and featurizers, including Box-Cox and Fourier transformations
  • Seasonal time series decompositions
  • A rich collection of built-in time series datasets for prototyping and examples
  • Scikit-learn-esque pipelines to consolidate your estimators and promote productionization


Programming Language: Python.
Categories:
Machine Learning

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