tracking.validation.scores Namespace Reference

Functions
def	data_amount (truths, predictions)
def	signal_amount (truths, predictions)
def	accepted_amount (truths, predictions)
def	accepted_signal_amount (truths, predictions)
def	background_amount (truths, predictions)
def	rejected_amount (truths, predictions)
def	rejected_signal_amount (truths, predictions)
def	accepted_background_amount (truths, predictions)
def	rejected_background_amount (truths, predictions)
def	purity (truths, predictions)
def	efficiency (truths, predictions)
def	accuracy (truths, predictions)
def	background_rejection (truths, predictions)
def	signal_background_ratio (truths, predictions)

Detailed Description

This module contains score functions to quantify the quality of a classification

All score function have the signature
def score(truths, predictions):

comparing the truth information against a model and return a numerical value.

Function Documentation

accepted_amount()

def tracking.validation.scores.accepted_amount	(		truths,
			predictions
	)

Score function: amount accepted of a classification

Definition at line 28 of file scores.py.

def accepted_amount(truths, predictions):
    """Score function: amount accepted of a classification"""
    return np.count_nonzero(predictions)
 
 

accepted_background_amount()

def tracking.validation.scores.accepted_background_amount	(		truths,
			predictions
	)

Score function: amount of accepted background of a classification

Definition at line 58 of file scores.py.

accepted_signal_amount()

def tracking.validation.scores.accepted_signal_amount	(		truths,
			predictions
	)

Score function: amount of accepted signal of a classification

Definition at line 33 of file scores.py.

accuracy()

def tracking.validation.scores.accuracy	(		truths,
			predictions
	)

Score function: accuracy = (accepted signal + rejected background) / total

Definition at line 81 of file scores.py.

background_amount()

def tracking.validation.scores.background_amount	(		truths,
			predictions
	)

Score function: amount of background of a classification

Definition at line 43 of file scores.py.

background_rejection()

def tracking.validation.scores.background_rejection	(		truths,
			predictions
	)

Score function: background rejection = rejected background / background

Definition at line 88 of file scores.py.

data_amount()

def tracking.validation.scores.data_amount	(		truths,
			predictions
	)

Score function: amount of data after a selection

Definition at line 12 of file scores.py.

efficiency()

def tracking.validation.scores.efficiency	(		truths,
			predictions
	)

Score function: efficiency = accepted signal / signal

Definition at line 76 of file scores.py.

purity()

def tracking.validation.scores.purity	(		truths,
			predictions
	)

Score function: purity = accepted signal / accepted

Definition at line 71 of file scores.py.

rejected_amount()

def tracking.validation.scores.rejected_amount	(		truths,
			predictions
	)

Score function: amount rejected of a classification

Definition at line 48 of file scores.py.

rejected_background_amount()

def tracking.validation.scores.rejected_background_amount	(		truths,
			predictions
	)

Score function: amount of rejected background of a classification

Definition at line 63 of file scores.py.

rejected_signal_amount()

def tracking.validation.scores.rejected_signal_amount	(		truths,
			predictions
	)

Score function: amount of rejected signal of a classification

Definition at line 53 of file scores.py.

signal_amount()

def tracking.validation.scores.signal_amount	(		truths,
			predictions
	)

Score function: amount of signal of a classification

Definition at line 23 of file scores.py.

signal_background_ratio()

def tracking.validation.scores.signal_background_ratio	(		truths,
			predictions
	)

Score function: background / signal

Definition at line 95 of file scores.py.