hex
Class NeuralNet.NeuralNetModel

java.lang.Object
  water.Iced
      water.Model
          hex.NeuralNet.NeuralNetModel

All Implemented Interfaces:

java.lang.Cloneable, Freezable

Enclosing class:

NeuralNet

public static class NeuralNet.NeuralNetModel
extends Model

Nested Class Summary

Nested classes/interfaces inherited from class water.Model

Model.SB

Field Summary

float[][]	bs
long[][]	confusion_matrix
long	items
Layer[]	layers
double	train_classification_error
double	train_sqr_error
double	validation_classification_error
double	validation_sqr_error
float[][]	ws

Fields inherited from class water.Model

_dataKey, _domains, _names, _selfKey, DOC_FIELDS

Method Summary

ConfusionMatrix	cm() For classifiers, confusion matrix on validation set.
protected float[]	score0(Chunk[] chunks, int rowInChunk, double[] tmp, float[] preds) Bulk scoring API for one row.
protected float[]	score0(double[] data, float[] preds) Subclasses implement the scoring logic.

Methods inherited from class water.Model

adapt, classNames, delete, getDomainMapping, isClassifier, nclasses, responseName, score, score, score, score, score, testJavaScoring, toJava, toJavaInit, toJavaInit, toJavaPredictBody

Methods inherited from class water.Iced

clone, frozenType, init, newInstance, read, toDocField, write, writeJSON, writeJSONFields

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

layers

public Layer[] layers

ws

public float[][] ws

bs

public float[][] bs

items

public long items

train_classification_error

public double train_classification_error

train_sqr_error

public double train_sqr_error

validation_classification_error

public double validation_classification_error

validation_sqr_error

public double validation_sqr_error

confusion_matrix

public long[][] confusion_matrix

Method Detail

score0

protected float[] score0(Chunk[] chunks,
                         int rowInChunk,
                         double[] tmp,
                         float[] preds)

Description copied from class: Model

Bulk scoring API for one row. Chunks are all compatible with the model, and expect the last Chunks are for the final distribution & prediction. Default method is to just load the data into the tmp array, then call subclass scoring logic.

Overrides:

score0 in class Model

score0

protected float[] score0(double[] data,
                         float[] preds)

Description copied from class: Model

Subclasses implement the scoring logic. The data is pre-loaded into a re-used temp array, in the order the model expects. The predictions are loaded into the re-used temp array, which is also returned.

Specified by:

score0 in class Model

cm

public ConfusionMatrix cm()

Description copied from class: Model

For classifiers, confusion matrix on validation set.

Overrides:

cm in class Model