Prior Class Reference

Inheritance diagram for Prior:

Collaboration diagram for Prior:

Public Member Functions
def	__init__ (self, z, y)
def	get_signal_pdf (self, X)
def	get_bckgrd_pdf (self, X)
def	get_signal_cdf (self, X)
def	get_bckgrd_cdf (self, X)
def	get_prior (self, X)
def	get_boost_weights (self, X)
def	get_uncorrelation_weights (self, X, boost_prediction)

Public Attributes
	signal_bins
	signal cdf, pdf and binning
	bckgrd_bins
	background cdf, pdf and binning

Detailed Description

Calculates prior from signal and background pdfs of the fit variable

Definition at line 14 of file dplot.py.

Constructor & Destructor Documentation

__init__()

def __init__	(		self,
			z,
			y
	)

Constructor of a new prior distribution
    @param z fit variable
    @param y target variable

Definition at line 19 of file dplot.py.

    def __init__(self, z, y):
        """
        Constructor of a new prior distribution
            @param z fit variable
            @param y target variable
        """
        
        self.signal_cdf, self.signal_pdf, self.signal_bins = calculate_cdf_and_pdf(z[y == 1])
        
        self.bckgrd_cdf, self.bckgrd_pdf, self.bckgrd_bins = calculate_cdf_and_pdf(z[y == 0])
        # Avoid numerical instabilities
        self.bckgrd_pdf[0] = self.bckgrd_pdf[-1] = 1
 

Member Function Documentation

get_bckgrd_cdf()

def get_bckgrd_cdf	(		self,
			X
	)

Calculate background cdf for given fit variable value
    @param X nd-array containing fit variable values

Definition at line 53 of file dplot.py.

get_bckgrd_pdf()

def get_bckgrd_pdf	(		self,
			X
	)

Calculate background pdf for given fit variable value
    @param X nd-array containing fit variable values

Definition at line 39 of file dplot.py.

get_boost_weights()

def get_boost_weights	(		self,
			X
	)

Calculate boost weights used in dplot boost training step
    @param X nd-array containing fit variable values

Definition at line 69 of file dplot.py.

get_prior()

def get_prior	(		self,
			X
	)

Calculate prior signal probability for given fit variable value
    @param X nd-array containing fit variable values

Definition at line 60 of file dplot.py.

get_signal_cdf()

def get_signal_cdf	(		self,
			X
	)

Calculate signal cdf for given fit variable value
    @param X nd-array containing fit variable values

Definition at line 46 of file dplot.py.

get_signal_pdf()

def get_signal_pdf	(		self,
			X
	)

Calculate signal pdf for given fit variable value
    @param X nd-array containing fit variable values

Definition at line 32 of file dplot.py.

get_uncorrelation_weights()

def get_uncorrelation_weights	(		self,
			X,
			boost_prediction
	)

Calculate uncorrelation weights used in dplot classifier training step
    @param X nd-array containing fit variable values
    @param boost_prediction output of the boost classifier

Definition at line 81 of file dplot.py.

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

• mva/examples/tensorflow/dplot.py