confusionMatrixDemo.py

## @package python.demo.confusionMatrixDemo
# 
# example script showing how to use opals.workflows.clfConfusionMatrix within python to retrieve a confusion matrix
# 
 
import opals.Types
from opals.workflows import clfConfusionMatrix
from opals import pyDM
 
 
def confusion_matrix(odm, refAttr, estimAttr):
    conf = clfConfusionMatrix.clfConfusionMatrix(infile=odm, refAttr=refAttr, estimAttr=estimAttr,
                                                 screenLogLevel=opals.Types.LogLevel.error)
    conf.run()
    obj = conf.matrix  # get the confusion matrix of type pyDM.ClassificationMatrix
    print(f"id list: {obj.idList()}")
    npConMat = pyDM.NumpyConverter.get(obj)  # convert confusion matrix object into a numpy array (maybe None)
    if npConMat is not None:
        print("Confusion Matrix (absolute frequencies):")
        print(npConMat)
 
 
# example file
odm = "niederrhein.odm"
 
# get the confusion matrix of an odm
confusion_matrix(odm, refAttr='Classification', estimAttr='_classEstim')