Abstract: Ordinal input variables are common in many supervised and unsupervised machine learning problems. We focus on ordinal classification problems, where the target variable is also categorical ...

Abstract: It is very important to select input variables when the support vector machine forecasting model is proposed. The input variables selection for short-term load forecasting is relevant to the ...

To use input series, list the input series in a CROSSCORR= option on the IDENTIFY statement and specify how they enter the model with an INPUT= option on the ESTIMATE statement. For example, you might ...

At this time, you can create input arguments to specify what data is expected from the parent. For creating an input argument, you can click on the Add hyperlink in the Input Arguments section seen in ...

This action sets environment variables, (and optionally step outputs), to different values determined by a provided scope. The values for each variable and scope can be provided in specially-named ...