Model Post-Processing

The post-processing tab enables you to perform transformations on model output before displaying the final result.

Currently, Gathr supports only one algorithm i.e IndexToString for post-processing.

IndexToString #

IndexToString maps a column of label indices back to a column containing the original labels as strings.

A common use case is to produce indices from labels with StringIndexer, train a model with those indices and retrieve the original labels from the column of predicted indices with IndexToString.

However, you are free to supply your own labels.

Input Columns: Name of the input column over which IndexToString transformation is to be applied.

Output Column: Name of the output columns. Each output column will contain CountVector for the respective input column.

Labels: Labels to be used for transforming inputs indices into String.

There are two options for doing this either user can reuse labels created in the pipeline earlier while any of the StringIndexer Transformations or it can specify new labels over here only.

Select StringIndexer: Select the StringIndexer from the transformation chain on which IndexToString algorithm needs to be applied.