ConfusionMatrix(mapping=None, *, ignore_unknown_fields=False, **kwargs)Confusion matrix for multi-class classification models.
Attributes | |
|---|---|
| Name | Description |
confidence_threshold |
google.protobuf.wrappers_pb2.DoubleValue
Confidence threshold used when computing the entries of the confusion matrix. |
rows |
Sequence[google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics.ConfusionMatrix.Row]
One row per actual label. |
Classes
Entry
Entry(mapping=None, *, ignore_unknown_fields=False, **kwargs)A single entry in the confusion matrix.
Row
Row(mapping=None, *, ignore_unknown_fields=False, **kwargs)A single row in the confusion matrix.
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.