Reference documentation and code samples for the Cloud AutoML V1 API class Google::Cloud::AutoML::V1::TextExtractionEvaluationMetrics::ConfidenceMetricsEntry.
Metrics for a single confidence threshold.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#confidence_threshold
def confidence_threshold() -> ::Float
Returns
- (::Float) — Output only. The confidence threshold value used to compute the metrics. Only annotations with score of at least this threshold are considered to be ones the model would return.
#confidence_threshold=
def confidence_threshold=(value) -> ::Float
Parameter
- value (::Float) — Output only. The confidence threshold value used to compute the metrics. Only annotations with score of at least this threshold are considered to be ones the model would return.
Returns
- (::Float) — Output only. The confidence threshold value used to compute the metrics. Only annotations with score of at least this threshold are considered to be ones the model would return.
#f1_score
def f1_score() -> ::Float
Returns
- (::Float) — Output only. The harmonic mean of recall and precision.
#f1_score=
def f1_score=(value) -> ::Float
Parameter
- value (::Float) — Output only. The harmonic mean of recall and precision.
Returns
- (::Float) — Output only. The harmonic mean of recall and precision.
#precision
def precision() -> ::Float
Returns
- (::Float) — Output only. Precision under the given confidence threshold.
#precision=
def precision=(value) -> ::Float
Parameter
- value (::Float) — Output only. Precision under the given confidence threshold.
Returns
- (::Float) — Output only. Precision under the given confidence threshold.
#recall
def recall() -> ::Float
Returns
- (::Float) — Output only. Recall under the given confidence threshold.
#recall=
def recall=(value) -> ::Float
Parameter
- value (::Float) — Output only. Recall under the given confidence threshold.
Returns
- (::Float) — Output only. Recall under the given confidence threshold.