ConfusionMatrix(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Confusion matrix for multi-class classification models. .. attribute:: confidence_threshold
Confidence threshold used when computing the entries of the confusion matrix.
:type: google.protobuf.wrappers_pb2.DoubleValue
Attribute
Name | Description |
rows |
Sequence[google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix.Row]
One row per actual label. |
Inheritance
builtins.object > proto.message.Message > ConfusionMatrixClasses
Entry
Entry(mapping=None, *, ignore_unknown_fields=False, **kwargs)
A single entry in the confusion matrix. .. attribute:: predicted_label
The predicted label. For confidence_threshold > 0, we will also add an entry indicating the number of items under the confidence threshold.
:type: str
Row
Row(mapping=None, *, ignore_unknown_fields=False, **kwargs)
A single row in the confusion matrix. .. attribute:: actual_label
The original label of this row.
:type: str
Methods
__delattr__
__delattr__(key)
Delete the value on the given field.
This is generally equivalent to setting a falsy value.
__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
__setattr__
__setattr__(key, value)
Set the value on the given field.
For well-known protocol buffer types which are marshalled, either the protocol buffer object or the Python equivalent is accepted.