SparkDeserializerFactory (feathr-impl 0.10.4-rc1 API)

```
public final class SparkDeserializerFactory
extends java.lang.Object
```
A converter from FDS Spark objects to TensorData. Instead of creating a new memory copy, a thin wrapper (view) around the Spark structure is created. This reduces GC pressure, but some operations (e.g., cardinality or isEmpty) are more expensive than usual. For working with individual feature values, use getFeatureDeserializer(com.linkedin.feathr.common.tensor.TensorType). NOTE that this class directly operates with scala.collection.Seq values coming from Spark DataFrame. An alternative would be converting those to java.util.List, but given the performance requirements of this class, that was not chosen.

All Methods Static Methods Concrete Methods
Modifier and Type	Method and Description
`static FeatureDeserializer`	`getFeatureDeserializer(TensorType tensorType)` Creates a converter from Spark feature value to a TensorData.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Class SparkDeserializerFactory