org.strbio.mol.lib.pred2ary
Class TPSet.NetVars

java.lang.Object
  org.strbio.mol.lib.pred2ary.TPSet.NetVars

Enclosing class:

TPSet

public static class TPSet.NetVars
extends java.lang.Object

Class with variables used to configure the neural nets.

Field Summary

boolean	aapercent
boolean	aapercent_2
int	b_sets
boolean	best_stop
int	c_hls
boolean	c_jackknife
double	c_lowerror
double	c_maxerror
int	c_sets
int	c_steps
int	c_test
int	hls
int	hls_2
boolean	jackknife
boolean	jackknife_2
double	lowerror
double	lowerror_2
double	maxerror
double	maxerror_2
boolean	new_cutoff
int	numsmooth
int	numsmooth_2
boolean	print_e
boolean	reduce_A
boolean	reduce_AB
boolean	reduce_B
boolean	reduce_O
int	seed
int	sets
int	sets_2
boolean	show_individual
boolean	show_reduce
int	steps
int	steps_2
int	test
int	test_2
boolean	use_sd
int	w_w
int	w_w_2

Constructor Summary

TPSet.NetVars()

Method Summary

void	getNetworkStats(int whichnet, java.io.BufferedReader infile) this automatically figures out network topology from a vector of layer sizes.
void	getNetworkStats(int whichnet, int[] lsize) This sets various network variable from a vector of network sizes.
void	getNetworkStats(int whichnet, NeuralNet n) This automatically figures out network topology from a loaded network. 0 = first level 2ary 1 = lvl 2 2ary 2 = class
void	getNetworkStats(int whichnet, java.lang.String filename) this automatically figures out network topology from weight file.

Methods inherited from class java.lang.Object

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

Field Detail

seed

public int seed

use_sd

public boolean use_sd

print_e

public boolean print_e

aapercent

public boolean aapercent

aapercent_2

public boolean aapercent_2

w_w

public int w_w

w_w_2

public int w_w_2

hls

public int hls

hls_2

public int hls_2

numsmooth

public int numsmooth

numsmooth_2

public int numsmooth_2

lowerror

public double lowerror

lowerror_2

public double lowerror_2

maxerror

public double maxerror

maxerror_2

public double maxerror_2

new_cutoff

public boolean new_cutoff

show_individual

public boolean show_individual

jackknife

public boolean jackknife

sets

public int sets

jackknife_2

public boolean jackknife_2

sets_2

public int sets_2

steps

public int steps

steps_2

public int steps_2

test

public int test

test_2

public int test_2

c_sets

public int c_sets

b_sets

public int b_sets

best_stop

public boolean best_stop

c_jackknife

public boolean c_jackknife

c_hls

public int c_hls

c_steps

public int c_steps

c_test

public int c_test

c_lowerror

public double c_lowerror

c_maxerror

public double c_maxerror

show_reduce

public boolean show_reduce

reduce_A

public boolean reduce_A

reduce_B

public boolean reduce_B

reduce_AB

public boolean reduce_AB

reduce_O

public boolean reduce_O

Constructor Detail

TPSet.NetVars

public TPSet.NetVars()

Method Detail

getNetworkStats

public final void getNetworkStats(int whichnet,
                                  int[] lsize)

This sets various network variable from a vector of network sizes.

getNetworkStats

public final void getNetworkStats(int whichnet,
                                  java.io.BufferedReader infile)
                           throws java.io.IOException

this automatically figures out network topology from a vector of layer sizes. whichnet indicates network type: 0 = first level 2ary 1 = lvl 2 2ary 2 = class

Throws:

java.io.IOException

getNetworkStats

public final void getNetworkStats(int whichnet,
                                  NeuralNet n)

This automatically figures out network topology from a loaded network. 0 = first level 2ary 1 = lvl 2 2ary 2 = class

getNetworkStats

public final void getNetworkStats(int whichnet,
                                  java.lang.String filename)
                           throws java.io.IOException

this automatically figures out network topology from weight file. It does not detect binary networks. Whichnet indicates network type: 0 = first level 2ary 1 = lvl 2 2ary 2 = class

Throws:

java.io.IOException