ARIMA Learner

Learner

Estimates parameters of an ARIMA time series model.

Input Ports

  1. Type: Data
    Table containing time series data.

Output Ports

  1. Type: Arima
    Model to connect to a predictor node.

  1. Inventory Optimization Use Case: Data Preparation, Modelling and Business Logic Workflow

    Inventory supply and consumption data is loaded, prepared and later forecasted using ARIMA providing the primary output.…
    Users > knime > Examples > 50_Applications > 41_Inventory_Optimization

Extension

This node is part of the extension

KNIME Autoregressive integrated moving average (ARIMA)

 v4.0.0

Short Link

Drag node into KNIME Analytics Platform