MultiLabelConfusionMatrix

Multi-label confusion matrix.

Under the hood, this stores one metrics.ConfusionMatrix for each output.

Examples

from river import metrics

cm = metrics.multioutput.MultiLabelConfusionMatrix()

y_true = [
    {0: False, 1: True, 2: True},
    {0: True, 1: True, 2: False}
]

y_pred = [
    {0: True, 1: True, 2: True},
    {0: True, 1: False, 2: False}
]

for yt, yp in zip(y_true, y_pred):
    cm.update(yt, yp)

cm

0
            False   True
    False       0      1
     True       0      1
<BLANKLINE>
1
            False   True
    False       0      0
     True       1      1
<BLANKLINE>
2
            False   True
    False       1      0
     True       0      1

Methods

revert

update