hex.deeplearning

Class DeepLearningModel.DeepLearningModelInfo

java.lang.Object

water.Iced

hex.deeplearning.DeepLearningModel.DeepLearningModelInfo

All Implemented Interfaces:

java.lang.Cloneable, Freezable

Enclosing class:

DeepLearningModel

public static class DeepLearningModel.DeepLearningModelInfo
extends Iced

Field Summary

Fields

Modifier and Type	Field and Description
static DocGen.FieldDoc[]	DOC_FIELDS
float[]	rms_weight

Constructor Summary

Constructors

Constructor and Description
DeepLearningModel.DeepLearningModelInfo()
DeepLearningModel.DeepLearningModelInfo(DeepLearning params, FrameTask.DataInfo dinfo)

Method Summary

Methods

Modifier and Type	Method and Description
void	add_processed_global(long p)
void	add_processed_local(long p)
void	add(DeepLearningModel.DeepLearningModelInfo other)
void	computeStats()
float[]	computeVariableImportances() Compute Variable Importance, based on GEDEON: DATA MINING OF INPUTS: ANALYSING MAGNITUDE AND FUNCTIONAL MEASURES
FrameTask.DataInfo	data_info()
protected void	div(float N)
Neurons.Matrix	get_ada_dx_g(int i)
Neurons.DenseVector	get_biases_ada_dx_g(int i)
Neurons.DenseVector	get_biases_momenta(int i)
Neurons.DenseVector	get_biases(int i)
DeepLearning	get_params()
long	get_processed_global()
long	get_processed_local()
long	get_processed_total()
Neurons.Matrix	get_weights_momenta(int i)
Neurons.Matrix	get_weights(int i)
void	set_processed_global(long p)
void	set_processed_local(long p)
void	set_unstable()
long	size()
java.lang.String	toString()
java.lang.String	toStringAll()
boolean	unstable()

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, wait, wait, wait

Field Detail

DOC_FIELDS

public static DocGen.FieldDoc[] DOC_FIELDS

rms_weight

@Request.API(help="RMS weight",
             json=true)
public float[] rms_weight

Constructor Detail

DeepLearningModel.DeepLearningModelInfo

public DeepLearningModel.DeepLearningModelInfo()

DeepLearningModel.DeepLearningModelInfo

public DeepLearningModel.DeepLearningModelInfo(DeepLearning params,
                                       FrameTask.DataInfo dinfo)

Method Detail

data_info

public FrameTask.DataInfo data_info()

size

public long size()

get_weights

public final Neurons.Matrix get_weights(int i)

get_biases

public final Neurons.DenseVector get_biases(int i)

get_weights_momenta

public final Neurons.Matrix get_weights_momenta(int i)

get_biases_momenta

public final Neurons.DenseVector get_biases_momenta(int i)

get_ada_dx_g

public final Neurons.Matrix get_ada_dx_g(int i)

get_biases_ada_dx_g

public final Neurons.DenseVector get_biases_ada_dx_g(int i)

get_params

public final DeepLearning get_params()

unstable

public boolean unstable()

set_unstable

public void set_unstable()

get_processed_global

public long get_processed_global()

set_processed_global

public void set_processed_global(long p)

add_processed_global

public void add_processed_global(long p)

get_processed_local

public long get_processed_local()

set_processed_local

public void set_processed_local(long p)

add_processed_local

public void add_processed_local(long p)

get_processed_total

public long get_processed_total()

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object

toStringAll

public java.lang.String toStringAll()

add

public void add(DeepLearningModel.DeepLearningModelInfo other)

div

protected void div(float N)

computeVariableImportances

public float[] computeVariableImportances()

Compute Variable Importance, based on GEDEON: DATA MINING OF INPUTS: ANALYSING MAGNITUDE AND FUNCTIONAL MEASURES

Returns:

variable importances for input features

computeStats

public void computeStats()