Sequential Minimal Optimization Trainer
This is an implementation of the SVM trainer called Sequential
Minimal Optimization, described by John C. Platt:
http://www.research.microsoft.com/~jplatt
Methods:
train Train a new SVM.
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Methods
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_E
_examine_example
_is_bound
_take_step
train
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_E
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_E ( self, i )
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_examine_example
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_examine_example ( self, i2 )
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_is_bound
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_is_bound (
self,
alpha,
C,
)
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_take_step
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_take_step (
self,
i1,
i2,
)
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train
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train (
self,
training_set,
results,
kernel_fn,
C,
epsilon,
update_fn=None,
)
train(self, training_set, results, kernel_fn, C, epsilon,
update_fn=None) -> SVM
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