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  • Using the Weka Forecasting Plugin

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The Fields mapping tab allows the user to check how the step is mapping incoming transformation fields to those that the model saw in its training data. The step matches both field names and types - note that this is done between incoming Kettle fields and the original training data fields (before any internal transformations done by the forecasting model itself). Any training data fields that don't have counterpart in the incoming data are indicated by an entry labelled "missing". If there is a difference in type between a training field and an incoming field, then this will be indicated by the label "type-mismatch". In both cases, the forecaster will receive a missing value as input for the field in question for all incoming data rows. This will impact forecasting performance to a greater or lesser degree. Image Modified