Overtraining Class Reference

Inheritance diagram for Overtraining:

Collaboration diagram for Overtraining:

Public Member Functions
def	__init__ (self, figure=None)
def	add (self, data, column, train_mask, test_mask, signal_mask, bckgrd_mask, weight_column=None)
def	finish (self)
def	add_subplot (self, gridspecs)
def	save (self, filename)
def	set_plot_options (self, plot_kwargs={ 'linestyle':''})
def	set_errorbar_options (self, errorbar_kwargs={ 'fmt':'.', 'elinewidth':3, 'alpha':1})
	Overrides default errorbar options for datapoint errorbars. More...
def	set_errorband_options (self, errorband_kwargs={ 'alpha':0.5})
def	set_fill_options (self, fill_kwargs=None)
def	add (self, *args, **kwargs)
def	finish (self, *args, **kwargs)
def	scale_limits (self)

Public Attributes
	yscale
	y limit scale
	xscale
	x limit scale
	plot_kwargs
	Default keyword arguments for plot function.
	errorbar_kwargs
	Default keyword arguments for errorbar function.
	errorband_kwargs
	Default keyword arguments for errorband function.
	fill_kwargs
	Default keyword arguments for fill_between function.

Static Public Attributes
	figure = None
	figure which is used to draw
	axis = None
	Main axis which is used to draw.
	axis_d1 = None
	Axis which shows the difference between training and test signal.
	axis_d2 = None
	Axis which shows the difference between training and test background.
	plots = None
	Plots added to the axis so far.
	labels = None
	Labels of the plots added so far.
	xmin = None
	Minimum x value.
	xmax = None
	Maximum x value.
	ymin = None
	Minimum y value.
	ymax = None
	Maximum y value.
float	yscale = 0.0
	limit scale
float	xscale = 0.0
	limit scale

Private Member Functions
def	_plot_datapoints (self, axis, x, y, xerr=None, yerr=None)

Detailed Description

Create TMVA-like overtraining control plot for a classification training

Definition at line 843 of file plotting.py.

Constructor & Destructor Documentation

__init__()

def __init__	(		self,
			figure = None
	)

Creates a new figure if None is given, sets the default plot parameters
@param figure default draw figure which is used

Definition at line 857 of file plotting.py.

Member Function Documentation

_plot_datapoints()

def _plot_datapoints (   self,   axis,   x,   y,   xerr = None,   yerr = None  )

privateinherited

Plot the given datapoints, with plot, errorbar and make a errorband with fill_between
@param x coordinates of the data points
@param y coordinates of the data points
@param xerr symmetric error on x data points
@param yerr symmetric error on y data points

Definition at line 173 of file plotting.py.

add() [1/2]

def add (   self, *  args, **  kwargs  )

inherited

Add a new plot to this plotter

Definition at line 241 of file plotting.py.

add() [2/2]

def add	(		self,
			data,
			column,
			train_mask,
			test_mask,
			signal_mask,
			bckgrd_mask,
			weight_column = None
	)

Add a new overtraining plot, I recommend to draw only one overtraining plot at the time,
otherwise there are too many curves in the plot to recognize anything in the plot.
@param data pandas.DataFrame containing all data
@param column which is used to calculate distribution histogram
@param train_mask boolean numpy.array defining which events are training events
@param test_mask boolean numpy.array defining which events are test events
@param signal_mask boolean numpy.array defining which events are signal events
@param bckgrd_mask boolean numpy.array defining which events are background events
@param weight_column column in data containing the weights for each event

Definition at line 875 of file plotting.py.

add_subplot()

def add_subplot (   self,   gridspecs  )

inherited

Adds a new subplot to the figure, updates all other axes
according to the given gridspec
@param gridspecs gridspecs for all axes including the new one

Definition at line 118 of file plotting.py.

finish() [1/2]

def finish

(

self

)

Sets limits, title, axis-labels and legend of the plot

Definition at line 954 of file plotting.py.

finish() [2/2]

def finish (   self, *  args, **  kwargs  )

inherited

Finish plotting and set labels, legends and stuff

Definition at line 247 of file plotting.py.

save()

def save (   self,   filename  )

inherited

Save the figure into a file
@param filename of the file

Definition at line 130 of file plotting.py.

scale_limits()

def scale_limits (   self )

inherited

Scale limits to increase distance to boundaries

Definition at line 253 of file plotting.py.

set_errorband_options()

def set_errorband_options (   self,   errorband_kwargs = {'alpha': 0.5}  )

inherited

Overrides default errorband options for datapoint errorband
@param errorbar_kwargs keyword arguments for the fill_between function

Definition at line 157 of file plotting.py.

set_errorbar_options()

def set_errorbar_options (   self,   errorbar_kwargs = {'fmt': '.', 'elinewidth': 3, 'alpha': 1}  )

inherited

Overrides default errorbar options for datapoint errorbars.

Overrides default errorbar options for datapoint errorbars
@param errorbar_kwargs keyword arguments for the errorbar function

Definition at line 149 of file plotting.py.

set_fill_options()

def set_fill_options (   self,   fill_kwargs = None  )

inherited

Overrides default fill_between options for datapoint errorband
@param fill_kwargs keyword arguments for the fill_between function

Definition at line 165 of file plotting.py.

set_plot_options()

def set_plot_options (   self,   plot_kwargs = {'linestyle': ''}  )

inherited

Overrides default plot options for datapoint plot
@param plot_kwargs keyword arguments for the plot function

Definition at line 141 of file plotting.py.

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

• mva/scripts/basf2_mva_evaluation/plotting.py