Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV CLASS NEXT CLASS | FRAMES NO FRAMES
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD

## org.encog.ml
Interface MLInput

All Superinterfaces:
  MLMethod

All Known Subinterfaces:
  MLAutoAssocation, MLClassification, MLInputOutput, MLRegression

All Known Implementing Classes:
  ART1, BasicNetwork, BasicPNN, BayesianNetwork, BoltzmannMachine, CPN, GaussianFitting, HopfieldNetwork, LinearRegression, NEATNetwork, RBFNetwork, SOM, SVM, ThermalNetwork

    public interface MLInput

extends MLMethod

Defines a MLMethod that accepts input. Input is defined as a simple array of double values. Many machine learning methods, such as neural networks and support vector machines receive input this way, and thus implement this interface. Others, such as clustering, do not.

Method Summary
`int` | `getInputCount()`

Method Detail

### getInputCount

    int getInputCount()

  Returns:
    The input.

Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV CLASS NEXT CLASS | FRAMES NO FRAMES
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD

Copyright © 2012. All Rights Reserved.