learn_lib.output_matrix.OutputMatrix Class Reference

Inheritance diagram for learn_lib.output_matrix.OutputMatrix:

Public Member Functions
def	__init__ (self)
def	get_accuracy (self)
def	get_f1measure (self)
def	get_measures (self)
def	get_precision (self)
def	get_recall (self)
def	output_matrix (self, true_y, pred_y)
def	set_accuracy (self)
def	set_confusion_matrix (self, tp, fp, tn, fn)
def	set_f1measure (self)
def	set_measures (self)
def	set_precision (self)
def	set_recall (self)

Private Attributes
	__acc
	__f1
	__fn
	__fp
	__prec
	__rec
	__tn
	__tp

Detailed Description

Definition at line 19 of file output_matrix.py.

Constructor & Destructor Documentation

def learn_lib.output_matrix.OutputMatrix.__init__

(

self

)

Definition at line 21 of file output_matrix.py.

Member Function Documentation

def learn_lib.output_matrix.OutputMatrix.get_accuracy

(

self

)

Definition at line 79 of file output_matrix.py.

def learn_lib.output_matrix.OutputMatrix.get_f1measure

(

self

)

Definition at line 91 of file output_matrix.py.

def learn_lib.output_matrix.OutputMatrix.get_measures

(

self

)

        Measures are printed and returned.

Definition at line 61 of file output_matrix.py.

def learn_lib.output_matrix.OutputMatrix.get_precision

(

self

)

Definition at line 87 of file output_matrix.py.

def learn_lib.output_matrix.OutputMatrix.get_recall

(

self

)

Definition at line 83 of file output_matrix.py.

def learn_lib.output_matrix.OutputMatrix.output_matrix	(		self,
			true_y,
			pred_y
	)

Output matrix
        Meant to print the output confusion matrix. Specifically
- True Positive
- False Positive
- True Negative
- False Negative

The above gets printed for both the training data and testing data.

Definition at line 139 of file output_matrix.py.

def learn_lib.output_matrix.OutputMatrix.set_accuracy

(

self

)

        acc = (tp + fp) / (tp + fp + tn + fn)

Definition at line 95 of file output_matrix.py.

def learn_lib.output_matrix.OutputMatrix.set_confusion_matrix	(		self,
			tp,
			fp,
			tn,
			fn
	)

        First to be called.
        Sets the confusion matrix values.

Definition at line 32 of file output_matrix.py.

def learn_lib.output_matrix.OutputMatrix.set_f1measure

(

self

)

        f1 = (2 * rec * prec) / (rec + prec)

        Balanced F1 score that is the harmonic mean of both recall
and precision.

Definition at line 127 of file output_matrix.py.

def learn_lib.output_matrix.OutputMatrix.set_measures

(

self

)

        Before measuers are set, make sure confusion matrix
exists, or else exit.

Definition at line 44 of file output_matrix.py.

def learn_lib.output_matrix.OutputMatrix.set_precision

(

self

)

        prec = tp / (tp + fp)

Definition at line 116 of file output_matrix.py.

def learn_lib.output_matrix.OutputMatrix.set_recall

(

self

)

        rec = tp / (tp + fn)

Definition at line 105 of file output_matrix.py.

Member Data Documentation

learn_lib.output_matrix.OutputMatrix.__acc

private

Definition at line 26 of file output_matrix.py.

learn_lib.output_matrix.OutputMatrix.__f1

private

Definition at line 29 of file output_matrix.py.

learn_lib.output_matrix.OutputMatrix.__fn

private

Definition at line 25 of file output_matrix.py.

learn_lib.output_matrix.OutputMatrix.__fp

private

Definition at line 23 of file output_matrix.py.

learn_lib.output_matrix.OutputMatrix.__prec

private

Definition at line 28 of file output_matrix.py.

learn_lib.output_matrix.OutputMatrix.__rec

private

Definition at line 27 of file output_matrix.py.

learn_lib.output_matrix.OutputMatrix.__tn

private

Definition at line 24 of file output_matrix.py.

learn_lib.output_matrix.OutputMatrix.__tp

private

Definition at line 22 of file output_matrix.py.

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

• output_matrix.py