normalizer.Normalizer Class Reference

Public Member Functions
def	__init__ (self, lin_corrs, series_size, bin_ratio)
def	set_mode (self, mode_str)
def	normalize (self, input_y, *args)
def	no_norm (self, input_y)
def	points_norm (self, input_y, points_no)
def	mean_norm (self, input_y, points_no, accumulate)
def	__repr__ (self)

Public Attributes
	mt_param
	points_scale_template
	bin_ratio_scale
	bin_ratio_scale_sq
	tau_values
	available_modes
	norm_fn

Constructor & Destructor Documentation

__init__()

def normalizer.Normalizer.__init__	(		self,
			lin_corrs,
			series_size,
			bin_ratio
	)

        Constructor that accepts multi-tau configuration parameters.

Member Function Documentation

__repr__()

def normalizer.Normalizer.__repr__

(

self

)

mean_norm()

def normalizer.Normalizer.mean_norm	(		self,
			input_y,
			points_no,
			accumulate
	)

        Returns the mean normalized transformation of the input. Accepts the number of points received by each 
        channel and the mean monitor accumulate. Mean = accumulate / points_no.

no_norm()

def normalizer.Normalizer.no_norm	(		self,
			input_y
	)

        Returns a non-normalized sequence. This function does nothing except return its input.

normalize()

def normalizer.Normalizer.normalize	(		self,
			input_y,
		*	args
	)

        Callable normalization function - single interface.

points_norm()

def normalizer.Normalizer.points_norm	(		self,
			input_y,
			points_no
	)

        Returns the input by dividing it with the number of points received by that particular channel.

set_mode()

def normalizer.Normalizer.set_mode	(		self,
			mode_str
	)

        Sets the normalization mode for the normalizer. Accepted modes -> {"no", "points", "mean"}

Member Data Documentation

available_modes

normalizer.Normalizer.available_modes

bin_ratio_scale

normalizer.Normalizer.bin_ratio_scale

bin_ratio_scale_sq

normalizer.Normalizer.bin_ratio_scale_sq

mt_param

normalizer.Normalizer.mt_param

norm_fn

normalizer.Normalizer.norm_fn

points_scale_template

normalizer.Normalizer.points_scale_template

tau_values

normalizer.Normalizer.tau_values

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

• code/pc_app/normalizer.py