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__repr__(self,
prefixes=[])
String definition of the object of ClassWithCollections object |
source code
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_pretrain(self,
dataset)
Functionality prior to training |
source code
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summary(self)
Providing summary over the classifier |
source code
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_train(self,
dataset)
Function to be actually overriden in derived classes |
source code
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_prepredict(self,
data)
Functionality prior prediction |
source code
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_postpredict(self,
data,
result)
Functionality after prediction is computed |
source code
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_regressionIsBogus(self)
Some classifiers like BinaryClassifier can't be used for
regression |
source code
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getSensitivityAnalyzer(self,
**kwargs)
Factory method to return an appropriate sensitivity analyzer for
the respective classifier. |
source code
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__resetChangedData(self)
For retrainable classifier we keep track of what was changed
This function resets that dictionary |
source code
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retrain(self,
dataset,
**kwargs)
Helper to avoid check if data was changed actually changed |
source code
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repredict(self,
data,
**kwargs)
Helper to avoid check if data was changed actually changed |
source code
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Inherited from misc.state.ClassWithCollections :
__getattribute__ ,
__new__ ,
__setattr__ ,
reset
Inherited from object :
__delattr__ ,
__format__ ,
__hash__ ,
__reduce__ ,
__reduce_ex__ ,
__sizeof__ ,
__subclasshook__
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_DEV__doc__ = ...
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trained_labels = StateVariable(enabled= True, doc= "Set of uni...
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trained_dataset = StateVariable(enabled= False, doc= "The data...
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training_confusion = StateVariable(enabled= False, doc= "Confu...
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predictions = StateVariable(enabled= True, doc= "Most recent s...
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values = StateVariable(enabled= True, doc= "Internal classifie...
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training_time = StateVariable(enabled= True, doc= "Time (in se...
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predicting_time = StateVariable(enabled= True, doc= "Time (in ...
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feature_ids = StateVariable(enabled= False, doc= "Feature IDS ...
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_clf_internals = []
Describes some specifics about the classifier -- is that it is
doing regression for instance....
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regression = Parameter(False, allowedtype= 'bool', doc= """Eit...
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retrainable = Parameter(False, allowedtype= 'bool', doc= """Ei...
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Inherited from misc.state.ClassWithCollections :
descr
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