org.openimaj.ml.clustering
Interface DataSource<DATATYPE>

Type Parameters:

DATATYPE - the data type which can be returned

All Known Implementing Classes:

SampleBatchByteDataSource, SampleBatchIntDataSource, SampleBatchIntDataSource

public interface DataSource<DATATYPE>

A source which returns data of type DATATYPE. Classes which implement this interface must support random access to rows as well as the ability to get random subsets of data.

Author:

Jonathon Hare , Sina Samangooei

Method Summary

void	getData(int startRow, int stopRow, DATATYPE[] data) Get data between given rows.
void	getRandomRows(DATATYPE[] data)
int	numDimensions()
int	numRows()

Method Detail

getData

void getData(int startRow,
             int stopRow,
             DATATYPE[] data)

Get data between given rows. startRow must be > 0, stopRow must be smaller than numRows(). data is guaranteed to have (stopRow - startRow) valid entries

Parameters:

startRow - where to start (inclusive)

stopRow - where to stop (exclusive)

data - the array to fill

numDimensions

int numDimensions()

Returns:

Number of dimensions of each data point

getRandomRows

void getRandomRows(DATATYPE[] data)

Parameters:

data - a random set of data. This array is guaranteed to be filled.

numRows

int numRows()

Returns:

the number of data points