Efficient Time-Series Using Python’s Pmdarima Library

 By Medium - 2021-01-05

Description

Demonstrating the efficiency of pmdarima’s auto_arima() function compared to implementing a traditional ARIMA model.

Summary

  • Efficient Time-Series Analysis Using Python’s Pmdarima Library What is Time-Series Analysis?
  • A trend that has no set repetition over a certain time period.
  • Next, I looked at our ACF/PACF plots using the differenced data to visualize the lags that will likely be influential when modeling the number of passengers.
  • While the traditional ARIMA implementation requires one to perform differencing and plotting ACF and PACF plots, the Auto ARIMA model using pmdarima’s auto_arima() function is more efficient in determining the optimal p,d,q values.

 

Topics

  1. Backend (0.22)
  2. Database (0.14)
  3. NLP (0.11)

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