public class Parameters
extends java.lang.Object
Class Parameters
Modifier and Type | Field and Description |
---|---|
double |
alpha
Problem coefficients
|
protected double |
aRange |
java.lang.String |
bp_type
Not used
|
boolean |
cross_validation
Check if test,validation or cross validation data is going to be used
|
int |
cycles
Number of cycles
|
java.lang.String |
error |
double |
eta
Problem coefficients
|
double |
improve
Problem coefficients
|
double |
lambda
Problem coefficients
|
protected double |
LM_convergence |
protected int |
max_nodes |
int |
n_test_patterns
Number of train, validation and test patterns
|
int |
n_train_patterns
Number of train, validation and test patterns
|
int |
n_val_patterns
Number of train, validation and test patterns
|
int[] |
Nhidden
Number of units in each layer
|
int |
Nhidden_layers
Number of hidden layers
|
int |
Ninputs
Number of units in each layer
|
int |
Noutputs
Number of units in each layer
|
protected int |
omega |
java.lang.String |
problem
Type of the problem ( CLASSIFICATION | REGRESSION )
|
boolean |
save
Save at the end of the output
|
long |
seed
Random seed
|
protected double |
Tend |
boolean |
test_data
Check if test,validation or cross validation data is going to be used
|
java.lang.String |
test_file
File names
|
java.lang.String |
test_output
File names
|
double |
threshold
Problem coefficients
|
boolean |
tipify_inputs
Check if is going to be tipified
|
protected double |
To |
java.lang.String |
train_file
File names
|
java.lang.String |
train_output
File names
|
java.lang.String[] |
transfer
Transfer function ( LOG | HTAN | LINEAR )
|
boolean |
val_data
Check if test,validation or cross validation data is going to be used
|
java.lang.String |
val_file
File names
|
boolean |
verbose
Verbose output
|
protected double |
w_k |
protected double |
w_mse |
Constructor and Description |
---|
Parameters()
Empty constructor
|
Modifier and Type | Method and Description |
---|---|
void |
LoadParameters(java.lang.String file_name)
Load parameters from file_name to global
|
public int[] Nhidden
public int Noutputs
public int Ninputs
public int n_train_patterns
public int n_val_patterns
public int n_test_patterns
public int cycles
public int Nhidden_layers
public boolean test_data
public boolean val_data
public boolean cross_validation
public boolean tipify_inputs
public boolean verbose
public boolean save
public double eta
public double alpha
public double lambda
public double improve
public double threshold
public long seed
public java.lang.String train_file
public java.lang.String test_file
public java.lang.String train_output
public java.lang.String test_output
public java.lang.String val_file
public java.lang.String problem
public java.lang.String bp_type
public java.lang.String[] transfer
protected int omega
protected int max_nodes
protected double Tend
protected double To
protected double aRange
protected double LM_convergence
protected double w_mse
protected double w_k
public java.lang.String error