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Packages that use NeuralNet | |
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org.strbio.mol.lib.pred2ary | These classes represent conceptual objects used in the Pred2ary program, which are probably not very useful for other purposes. |
org.strbio.util | These classes perform general purpose utility functions. |
Uses of NeuralNet in org.strbio.mol.lib.pred2ary |
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Fields in org.strbio.mol.lib.pred2ary declared as NeuralNet | |
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NeuralNet[] |
TrainingSet.cnet1
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NeuralNet |
TrainingSet.cnet4
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NeuralNet |
TrainingSet.net
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NeuralNet |
TrainingSet.net_2
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Methods in org.strbio.mol.lib.pred2ary with parameters of type NeuralNet | |
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double |
TPSet.fcut2ary(NeuralNet net,
int sample,
Printf outfile)
find best 2ary cutoff |
void |
TPSet.fcutClass(NeuralNet cnet4,
NeuralNet[] cnet1,
Printf outfile)
find cutoff, and compute class stats |
void |
TPSet.fcutClass(NeuralNet cnet4,
NeuralNet[] cnet1,
Printf outfile)
find cutoff, and compute class stats |
double |
TPSet.fcutLvl2(NeuralNet net,
int sample,
Printf outfile)
find cutoff, and compute stats on a training set. |
void |
TPSet.NetVars.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 |
TPSet.predict2ary(NeuralNet net,
int sample,
Printf outfile)
do a 2ary prediction |
void |
TPSet.predict2aryHE(NeuralNet net)
Predict level 1 H and E using network. |
void |
TPSet.predictClass(NeuralNet cnet4,
NeuralNet[] cnet1,
Printf outfile)
do class prediction |
void |
TPSet.predictClass(NeuralNet cnet4,
NeuralNet[] cnet1,
Printf outfile)
do class prediction |
void |
TPSet.predictClassRaw(NeuralNet cnet4,
NeuralNet[] cnet1)
predict class using both 4-output and 1-output networks. |
void |
TPSet.predictClassRaw(NeuralNet cnet4,
NeuralNet[] cnet1)
predict class using both 4-output and 1-output networks. |
void |
TPSet.predictLvl2(NeuralNet net,
int sample,
Printf outfile)
do a prediction |
void |
TPSet.predictLvl2HE(NeuralNet net)
do level 2 prediction |
void |
TrainingSet.Present2ary.presentPatterns(NeuralNet n)
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void |
TrainingSet.PresentLvl2.presentPatterns(NeuralNet n)
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void |
TrainingSet.PresentClass4.presentPatterns(NeuralNet n)
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void |
TrainingSet.PresentClass1.presentPatterns(NeuralNet n)
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Uses of NeuralNet in org.strbio.util |
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Methods in org.strbio.util with parameters of type NeuralNet | |
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void |
NeuralNet.Trainable.presentPatterns(NeuralNet n)
This method should not modify any weights itself; just present all the patterns and call prop() and backprop() for each. |
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