- 0.58.0 (latest)
- 0.57.0
- 0.56.0
- 0.55.0
- 0.54.0
- 0.53.0
- 0.52.0
- 0.51.0
- 0.50.0
- 0.49.0
- 0.48.0
- 0.47.0
- 0.46.0
- 0.45.0
- 0.44.0
- 0.43.0
- 0.42.0
- 0.41.0
- 0.40.0
- 0.39.0
- 0.38.0
- 0.37.0
- 0.36.0
- 0.35.0
- 0.34.0
- 0.33.0
- 0.32.0
- 0.31.0
- 0.30.0
- 0.29.0
- 0.28.0
- 0.27.0
- 0.26.0
- 0.25.0
- 0.24.0
- 0.23.0
- 0.22.0
- 0.21.0
- 0.20.0
- 0.19.0
- 0.18.0
- 0.17.0
- 0.16.0
- 0.15.0
- 0.14.0
- 0.13.0
- 0.12.0
- 0.11.0
- 0.10.0
- 0.9.1
- 0.8.0
- 0.7.0
- 0.6.0
- 0.5.0
- 0.4.0
- 0.3.0
- 0.2.0
- 0.1.0
Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::Measurement.
A message representing a Measurement of a Trial. A Measurement contains the Metrics got by executing a Trial using suggested hyperparameter values.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#elapsed_duration
def elapsed_duration() -> ::Google::Protobuf::Duration
Returns
- (::Google::Protobuf::Duration) — Output only. Time that the Trial has been running at the point of this Measurement.
#metrics
def metrics() -> ::Array<::Google::Cloud::AIPlatform::V1::Measurement::Metric>
Returns
- (::Array<::Google::Cloud::AIPlatform::V1::Measurement::Metric>) — Output only. A list of metrics got by evaluating the objective functions using suggested Parameter values.
#step_count
def step_count() -> ::Integer
Returns
- (::Integer) — Output only. The number of steps the machine learning model has been trained for. Must be non-negative.