learn_lib.anomaly_detector.AnomalyDetector Class Reference

Inheritance diagram for learn_lib.anomaly_detector.AnomalyDetector:

Public Member Functions
def	__init__ (self, unsup_models, sup_models)
def	call_output (self, true_y, pred_y)
def	classify_supervised (self, dataset_name, in_data, out_label)
def	classify_unsupervised (self, dataset_name, in_data, out_label)
def	fit_supervised_models (self, sup_train_x, sup_train_y)
def	fit_unsupervised_models (self, data_x)

Private Member Functions
def	__classify (self, model, data)
def	__fit_supervised (self, data_x, data_y)
def	__fit_unsupervised (self, data)

Private Attributes
	__outputMat
	__sup_clfs
	__unsup_clfs

Detailed Description

Definition at line 22 of file anomaly_detector.py.

Constructor & Destructor Documentation

def learn_lib.anomaly_detector.AnomalyDetector.__init__	(		self,
			unsup_models,
			sup_models
	)

Definition at line 24 of file anomaly_detector.py.

Member Function Documentation

def learn_lib.anomaly_detector.AnomalyDetector.__classify (   self,   model,   data  )

private

        Given a model, prediction is made.

        BUG: Assuming model is used as a binary classifier,
        predictions are turned to 0/1 vs 1/-1

Definition at line 80 of file anomaly_detector.py.

def learn_lib.anomaly_detector.AnomalyDetector.__fit_supervised (   self,   data_x,   data_y  )

private

        'Private' fit supervised models method
        Iterate through all models

Definition at line 57 of file anomaly_detector.py.

def learn_lib.anomaly_detector.AnomalyDetector.__fit_unsupervised (   self,   data  )

private

        'Private' fit unsupervised models method
        Iterate through all models

Definition at line 34 of file anomaly_detector.py.

def learn_lib.anomaly_detector.AnomalyDetector.call_output	(		self,
			true_y,
			pred_y
	)

        Predictions for multiple classifiers are being
passed, so need to iterate through them.

Definition at line 154 of file anomaly_detector.py.

def learn_lib.anomaly_detector.AnomalyDetector.classify_supervised	(		self,
			dataset_name,
			in_data,
			out_label
	)

        Get predictions for unsupervised models.
        Calls 'private' method with model for predictions.
For the dataset that is passed in, all supervised model
results are compiled.
With the output labels, the output matrix is called.

Definition at line 108 of file anomaly_detector.py.

def learn_lib.anomaly_detector.AnomalyDetector.classify_unsupervised	(		self,
			dataset_name,
			in_data,
			out_label
	)

        Get predictions for unsupervised models.
        Calls 'private' method with model for predictions.
For the dataset that is passed in, all unsupervised model
results are compiled.
With the output labels, the output matrix is called.

Definition at line 131 of file anomaly_detector.py.

def learn_lib.anomaly_detector.AnomalyDetector.fit_supervised_models	(		self,
			sup_train_x,
			sup_train_y
	)

        Unsupervised data is mixed. Labels (y) are passed in.

Definition at line 94 of file anomaly_detector.py.

def learn_lib.anomaly_detector.AnomalyDetector.fit_unsupervised_models	(		self,
			data_x
	)

        Supervised data is meant to all be safe. No labels.

Definition at line 101 of file anomaly_detector.py.

Member Data Documentation

learn_lib.anomaly_detector.AnomalyDetector.__outputMat

private

Definition at line 29 of file anomaly_detector.py.

learn_lib.anomaly_detector.AnomalyDetector.__sup_clfs

private

Definition at line 28 of file anomaly_detector.py.

learn_lib.anomaly_detector.AnomalyDetector.__unsup_clfs

private

Definition at line 27 of file anomaly_detector.py.

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The documentation for this class was generated from the following file:

• anomaly_detector.py