Featurizer (Deep Java Library 0.22.1 - basicdataset API)

All Known Subinterfaces:

Featurizer.DataFeaturizer, PreparedFeaturizer
```
public interface Featurizer
```
An interface that convert String to numeric data.

Nested Class Summary

Nested Classes
Modifier and Type	Interface	Description
`static interface`	`Featurizer.DataFeaturizer`	A `Featurizer` that only supports the data featurize operations, but not the full deFeaturize operations used by labels.

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`int`	`dataRequired()`	Returns the length of the data array required by `deFeaturize(float[])`.
`java.lang.Object`	`deFeaturize(float[] data)`	Converts the output data for a label back into the Java type.
`void`	`featurize(DynamicBuffer buf, java.lang.String input)`	Puts encoded data into the float buffer.

- Method Detail
  - featurize
```
void featurize(DynamicBuffer buf,
               java.lang.String input)
```
    Puts encoded data into the float buffer.
    
    Parameters:
    
    buf - the float buffer to be filled
    
    input - the string input
  - dataRequired
```
int dataRequired()
```
    Returns the length of the data array required by deFeaturize(float[]).
    
    Returns:
    
    the length of the data array required by deFeaturize(float[])
  - deFeaturize
```
java.lang.Object deFeaturize(float[] data)
```
    Converts the output data for a label back into the Java type.
    
    Parameters:
    
    data - the data vector correspondign to the feature
    
    Returns:
    
    a Java type (depending on the Featurizer) representing the data.