FeatureBuilder (profiles-sdk 6.3.2-rc.2 API)

All Known Implementing Classes:

ArrayFeatureBuilder, BaseFeatureBuilder, FloatFeatureBuilder, IntFeatureBuilder, StringFeatureBuilder, UnknownFeatureBuilder
```
public interface FeatureBuilder
```
Interface for building a Cortex Feature corresponding to a Spark DataType and Cortex FeatureType.

Method Summary

All Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method	Description
`com.c12e.cortex.phoenix.Feature`	`build()`	Build and creates an instantiated `Feature` instance.
`java.lang.String`	`getDataType()`	String representation of the Spark `DataType` for the feature.
`java.lang.String`	`getFeatureType()`	String representation of the feature type in Cortex (e.g.
`default void`	`inferFromSample(org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> sampleDf, java.lang.String fieldName)`	Infers feature properties based on the Dataset sample.

- Method Detail
  - getDataType
```
java.lang.String getDataType()
```
    String representation of the Spark DataType for the feature.
    
    Returns:
    
    String data type
  - getFeatureType
```
java.lang.String getFeatureType()
```
    String representation of the feature type in Cortex (e.g. "numeric", "categorical").
    
    Returns:
    
    String feature type
  - build
```
com.c12e.cortex.phoenix.Feature build()
```
    Build and creates an instantiated Feature instance.
    
    Returns:
    
    instantiated feature
  - inferFromSample
```
default void inferFromSample(org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> sampleDf,
                             java.lang.String fieldName)
```
    Infers feature properties based on the Dataset sample. Defaulted to a no-op.
    
    Parameters:
    
    sampleDf - sample data to infer the Feature properties from
    
    fieldName - name of the field in the Dataset