Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SchemaModelevaluationMetricsForecastingEvaluationMetricsQuantileMetricsEntry
- Inherits:
-
Object
- Object
- Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SchemaModelevaluationMetricsForecastingEvaluationMetricsQuantileMetricsEntry
- Includes:
- Core::Hashable, Core::JsonObjectSupport
- Defined in:
- lib/google/apis/aiplatform_v1/classes.rb,
lib/google/apis/aiplatform_v1/representations.rb,
lib/google/apis/aiplatform_v1/representations.rb more...
Overview
Entry for the Quantiles loss type optimization objective.
Instance Attribute Summary collapse
-
#observed_quantile ⇒ Float
This is a custom metric that calculates the percentage of true values that were less than the predicted value for that quantile.
-
#quantile ⇒ Float
The quantile for this entry.
-
#scaled_pinball_loss ⇒ Float
The scaled pinball loss of this quantile.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudAiplatformV1SchemaModelevaluationMetricsForecastingEvaluationMetricsQuantileMetricsEntry
constructor
A new instance of GoogleCloudAiplatformV1SchemaModelevaluationMetricsForecastingEvaluationMetricsQuantileMetricsEntry.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GoogleCloudAiplatformV1SchemaModelevaluationMetricsForecastingEvaluationMetricsQuantileMetricsEntry
Returns a new instance of GoogleCloudAiplatformV1SchemaModelevaluationMetricsForecastingEvaluationMetricsQuantileMetricsEntry.
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 22263 def initialize(**args) update!(**args) end |
Instance Attribute Details
#observed_quantile ⇒ Float
This is a custom metric that calculates the percentage of true values that
were less than the predicted value for that quantile. Only populated when
optimization_objective is minimize-quantile-loss and each entry corresponds to
an entry in quantiles The percent value can be used to compare with the
quantile value, which is the target value.
Corresponds to the JSON property observedQuantile
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 22251 def observed_quantile @observed_quantile end |
#quantile ⇒ Float
The quantile for this entry.
Corresponds to the JSON property quantile
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 22256 def quantile @quantile end |
#scaled_pinball_loss ⇒ Float
The scaled pinball loss of this quantile.
Corresponds to the JSON property scaledPinballLoss
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 22261 def scaled_pinball_loss @scaled_pinball_loss end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 22268 def update!(**args) @observed_quantile = args[:observed_quantile] if args.key?(:observed_quantile) @quantile = args[:quantile] if args.key?(:quantile) @scaled_pinball_loss = args[:scaled_pinball_loss] if args.key?(:scaled_pinball_loss) end |