Java Deep Learning Cookbook

How to do it...

1. Add features and labels into the schema:

Schema.Builder schemaBuilder = new Schema.Builder(); schemaBuilder.addColumnString("RowNumber") schemaBuilder.addColumnInteger("CustomerId") schemaBuilder.addColumnString("Surname") schemaBuilder.addColumnInteger("CreditScore");

2. Identify and add categorical features to the schema:

schemaBuilder.addColumnCategorical("Geography", Arrays.asList("France","Germany","Spain")) schemaBuilder.addColumnCategorical("Gender", Arrays.asList("Male","Female"));

3. Remove noise features from the dataset:

Schema schema = schemaBuilder.build(); TransformProcess.Builder transformProcessBuilder = new TransformProcess.Builder(schema); transformProcessBuilder.removeColumns("RowNumber","CustomerId","Surname"); ...