hex.deeplearning

Class DeepLearningModel.DeepLearningModelInfo

java.lang.Object

water.Iced

hex.deeplearning.DeepLearningModel.DeepLearningModelInfo

All Implemented Interfaces:

java.io.Externalizable, java.io.Serializable, java.lang.Cloneable, water.Freezable

Enclosing class:

DeepLearningModel

public static class DeepLearningModel.DeepLearningModelInfo
extends water.Iced

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
float[]	mean_a
float[]	rms_weight

Constructor Summary

Constructors

Constructor and Description
DeepLearningModel.DeepLearningModelInfo()
DeepLearningModel.DeepLearningModelInfo(DeepLearningModel.DeepLearningParameters 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_avg_activations(int i)
Neurons.DenseVector	get_biases_ada_dx_g(int i)
Neurons.DenseVector	get_biases_momenta(int i)
Neurons.DenseVector	get_biases(int i)
DeepLearningModel.DeepLearningParameters	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, read_impl, read, readExternal, readJSON_impl, readJSON, write_impl, write, writeExternal, writeHTML_impl, writeHTML, writeJSON_impl, writeJSON

Methods inherited from class java.lang.Object

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

Field Detail

rms_weight

public float[] rms_weight

mean_a

public float[] mean_a

Constructor Detail

DeepLearningModel.DeepLearningModelInfo

public DeepLearningModel.DeepLearningModelInfo()

DeepLearningModel.DeepLearningModelInfo

public DeepLearningModel.DeepLearningModelInfo(DeepLearningModel.DeepLearningParameters 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_avg_activations

public final Neurons.DenseVector get_avg_activations(int i)

get_params

public final DeepLearningModel.DeepLearningParameters 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()