Java Deep Learning Cookbook

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In a nutshell, here is what you need to do to build the schema for your datasets:

• Understand your data well. Identify the noise and signals.
• Capture features and labels. Identify categorical variables.
• Identify categorical features that one-hot encoding can be applied to.
• Pay attention to missing or bad data.
• Add features using type-specific methods such as addColumnInteger() and addColumnsInteger(), where the feature type is an integer. Apply the respective Builder method to other data types.
• Add categorical variables using addColumnCategorical().
• Call the build() method to build the schema.

Note that you cannot skip/ignore any features from the dataset without specifying them in the schema. You need to remove the outlying ...