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 19 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 24 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 58 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 44 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 74 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 65 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 51 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 37 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 86 of file dplot.py.

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

mva/examples/tensorflow/dplot.py

Public Member Functions

Public Attributes