ISparseDictionaryLearner (DMLab Library API for 0.0.4-SNAPSHOT)

All Known Implementing Classes:

OnlineDictionaryLearner
```
public interface ISparseDictionaryLearner
```
Interfaces for objects intended to learn a dictionary used in sparse coding.

Author:

Dustin Kempton, Data Mining Lab, Georgia State University

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`smile.math.matrix.DenseMatrix`	`train(List<double[]> X)`	Trains the sparse dictionary for the passed Data.

- Method Detail
  - train
```
smile.math.matrix.DenseMatrix train(List<double[]> X)
                             throws MatrixDimensionMismatch,
                                    VectorDimensionMismatch
```
    Trains the sparse dictionary for the passed Data.
    
    Parameters:
    
    X - The data to train on. Each element in the list is a column vector in the input matrix.
    
    Returns:
    
    The sparse dictionary.
    
    Throws:
    
    MatrixDimensionMismatch - When matrix dimensions are mismatched for this operation.
    
    VectorDimensionMismatch - If this is thrown then there was something wrong internally.