IScikitLearnContentLoader (scikit-learn 4 JVM 0.0.4 API)

All Known Implementing Classes:

BaseScikitLearnContentLoader, BernoulliNaiveBayesContentLoader, BinarizerContentLoader, CategoricalNaiveBayesContentLoader, ComplementNaiveBayesContentLoader, GaussianNaiveBayesContentLoader, LabelBinarizerContentLoader, LabelEncoderContentLoader, MaximumAbsoluteScalerContentLoader, MinimumMaximumScalerContentLoader, MultiLabelBinarizerContentLoader, MultinomialNaiveBayesContentLoader, NormalizerContentLoader, RobustScalerContentLoader, StandardScalerContentLoader
```
public interface IScikitLearnContentLoader
```
IScikitLearnContentLoader abstracts the format of individual objects from the file formatting. A class should be derived from this interface for each classifier in scikit-learn.

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`IScikitLearnContentLoader`	`duplicate()`	Creates a clone of the instance.
`String`	`getTypeName()`	Name of the loader.
`Object`	`loadContent(BinaryModelPackage buffer)`	Loads a scikit-learn object from an input stream.

- Method Detail
  - getTypeName
```
String getTypeName()
```
    Name of the loader. The name is stored in the header of the binary package file to be used during deserialization.
    
    Returns:
    
    The name/id of the loader type.
  - loadContent
```
Object loadContent(BinaryModelPackage buffer)
```
    Loads a scikit-learn object from an input stream.
    
    Parameters:
    
    buffer - The buffer to load the object from.
    
    Returns:
    
    A deserialized ready to use object.
  - duplicate
```
IScikitLearnContentLoader duplicate()
```
    Creates a clone of the instance.
    
    Returns:
    
    An empty clean instance of the loader.