Package samer.models
Class SparseICA.ON2Trainer
- java.lang.Object
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- samer.models.SparseICA.ON2Trainer
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- All Implemented Interfaces:
- Model.Trainer
- Enclosing class:
- SparseICA
public class SparseICA.ON2Trainer extends java.lang.Object implements Model.Trainer
This trainer uses an O(N^2) run step and an O(N^2) flush.
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Constructor Summary
Constructors Constructor and Description ON2Trainer()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method and Description void
accumulate()
collect statistics for parameter updatevoid
accumulate(double w)
weighted accumulatevoid
dispose()
void
flush()
use collected stats to update parameters and resetvoid
oneshot()
Must be equivalent to reset(); accumulate(); flush(); but can be optimised for non-batched trainingvoid
reset()
reset accumulators without updating parameters
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Method Detail
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dispose
public void dispose()
- Specified by:
dispose
in interfaceModel.Trainer
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reset
public void reset()
Description copied from interface:Model.Trainer
reset accumulators without updating parameters- Specified by:
reset
in interfaceModel.Trainer
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oneshot
public void oneshot()
Description copied from interface:Model.Trainer
Must be equivalent to reset(); accumulate(); flush(); but can be optimised for non-batched training- Specified by:
oneshot
in interfaceModel.Trainer
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accumulate
public void accumulate()
Description copied from interface:Model.Trainer
collect statistics for parameter update- Specified by:
accumulate
in interfaceModel.Trainer
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accumulate
public void accumulate(double w)
Description copied from interface:Model.Trainer
weighted accumulate- Specified by:
accumulate
in interfaceModel.Trainer
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flush
public void flush()
Description copied from interface:Model.Trainer
use collected stats to update parameters and reset- Specified by:
flush
in interfaceModel.Trainer
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