How to Save an ARIMA Time Series Forecasting Model in Python

From Blog – Machine Learning Mastery
February 23, 2017 - 1:00pm
The Autoregressive Integrated Moving Average Model, or ARIMA, is a popular linear model for time series analysis and forecasting. The statsmodels library provides an implementation of ARIMA for use in Python. ARIMA models can be saved to file for later use in making predictions on new data. There is a bug in the current version […] The post How to Save an ARIMA Time Series Forecasting Model in Python appeared first on Machine Learning Mastery.


Continue reading this article »