The Neural Launch Window | JMP 13.2

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Predictive and Specialized Modeling • Neural Networks • Launch the Neural Platform • The Neural Launch Window

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The Neural Launch Window

Use the Neural launch window to specify X and Y variables, a validation column, and to enable Informative Missing value coding.

The Neural Launch Window

Choose the response variable. When multiple responses are specified, the models for the responses share all parameters in the hidden layers (those parameters not connected to the responses).

Choose the input variables.

Choose a frequency variable.

Validation

Choose a validation column. For more information, see Validation Method. If you click the Validation button with no columns selected in the Select Columns list, you can add a validation column to your data table. For more information about the Make Validation Column utility, see Make Validation Column Utility in the Predictive and Specialized Modeling book.

Choose a variable to create separate models for each level of the variable.

Informative Missing

Check this box to enable informative coding of missing values. This coding allows estimation of a predictive model despite the presence of missing values. It is useful in situations where missing data are informative. If this option is not checked, rows with missing values are ignored.

For a continuous variable, missing values are replaced by the mean of the variable. Also, a missing value indicator, named <colname> Is Missing, is created and included in the model. If a variable is transformed using the Transform Covariates fitting option on the Model Launch control panel, missing values are replaced by the mean of the transformed variable.

For a categorical variable, missing values are treated as a separate level of that variable.

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Help created on 9/19/2017