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.GeneratedModel

Field Summary

Fields

Modifier and Type	Field and Description
float[][]	biases
long[][]	confusion_matrix
static DocGen.FieldDoc[]	DOC_FIELDS
Layer[]	layers
NeuralNet.Error[]	training_errors
NeuralNet.Error[]	validation_errors
float[][]	weights

Fields inherited from class water.Model

_dataKey, _domains, _names, _selfKey

Method Summary

Methods

Modifier and Type	Method and Description
ConfusionMatrix	cm() For classifiers, confusion matrix on validation set.
RequestBuilders.Response	redirect(Request req)
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, toJava, toJavaInit, toJavaInit, toJavaPredictBody, varimp

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

DOC_FIELDS

public static DocGen.FieldDoc[] DOC_FIELDS

layers

public Layer[] layers

weights

public float[][] weights

biases

public float[][] biases

training_errors

public NeuralNet.Error[] training_errors

validation_errors

public NeuralNet.Error[] validation_errors

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

redirect

public RequestBuilders.Response redirect(Request req)