Model Feature Selection

For using analytics processor in both training and prediction mode, you have to explicitly specify Input Labels and Variables such as Continuous, Categorical and Text.

Provide configuration details for Feature Selection as described below:

Input Label: Input Label signifies the incoming message field, which will be considered as a label field for model training.

Features: User can provide all the continuous, categorical and text variables within the features field.

Drop NAN/Null Records: All the null records within the selected columns will get dropped here.

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