Class: Google::Cloud::Dialogflow::CX::V3::Experiment::Result
- Inherits:
-
Object
- Object
- Google::Cloud::Dialogflow::CX::V3::Experiment::Result
- Extended by:
- Protobuf::MessageExts::ClassMethods
- Includes:
- Protobuf::MessageExts
- Defined in:
- proto_docs/google/cloud/dialogflow/cx/v3/experiment.rb
Overview
The inference result which includes an objective metric to optimize and the confidence interval.
Defined Under Namespace
Modules: CountType, MetricType Classes: ConfidenceInterval, Metric, VersionMetrics
Instance Attribute Summary collapse
-
#last_update_time ⇒ ::Google::Protobuf::Timestamp
The last time the experiment's stats data was updated.
-
#version_metrics ⇒ ::Array<::Google::Cloud::Dialogflow::CX::V3::Experiment::Result::VersionMetrics>
Version variants and metrics.
Instance Attribute Details
#last_update_time ⇒ ::Google::Protobuf::Timestamp
Returns The last time the experiment's stats data was updated. Will have default value if stats have never been computed for this experiment.
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# File 'proto_docs/google/cloud/dialogflow/cx/v3/experiment.rb', line 112 class Result include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # A confidence interval is a range of possible values for the experiment # objective you are trying to measure. # @!attribute [rw] confidence_level # @return [::Float] # The confidence level used to construct the interval, i.e. there is X% # chance that the true value is within this interval. # @!attribute [rw] ratio # @return [::Float] # The percent change between an experiment metric's value and the value # for its control. # @!attribute [rw] lower_bound # @return [::Float] # Lower bound of the interval. # @!attribute [rw] upper_bound # @return [::Float] # Upper bound of the interval. class ConfidenceInterval include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Metric and corresponding confidence intervals. # @!attribute [rw] type # @return [::Google::Cloud::Dialogflow::CX::V3::Experiment::Result::MetricType] # Ratio-based metric type. Only one of type or count_type is specified in # each Metric. # @!attribute [rw] count_type # @return [::Google::Cloud::Dialogflow::CX::V3::Experiment::Result::CountType] # Count-based metric type. Only one of type or count_type is specified in # each Metric. # @!attribute [rw] ratio # @return [::Float] # Ratio value of a metric. # @!attribute [rw] count # @return [::Float] # Count value of a metric. # @!attribute [rw] confidence_interval # @return [::Google::Cloud::Dialogflow::CX::V3::Experiment::Result::ConfidenceInterval] # The probability that the treatment is better than all other treatments # in the experiment class Metric include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Version variant and associated metrics. # @!attribute [rw] version # @return [::String] # The name of the flow {::Google::Cloud::Dialogflow::CX::V3::Version Version}. # Format: # `projects/<ProjectID>/locations/<LocationID>/agents/<AgentID>/flows/<FlowID>/versions/<VersionID>`. # @!attribute [rw] metrics # @return [::Array<::Google::Cloud::Dialogflow::CX::V3::Experiment::Result::Metric>] # The metrics and corresponding confidence intervals in the inference # result. # @!attribute [rw] session_count # @return [::Integer] # Number of sessions that were allocated to this version. class VersionMetrics include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Types of ratio-based metric for Dialogflow experiment. module MetricType # Metric unspecified. METRIC_UNSPECIFIED = 0 # Percentage of contained sessions without user calling back in 24 hours. CONTAINED_SESSION_NO_CALLBACK_RATE = 1 # Percentage of sessions that were handed to a human agent. LIVE_AGENT_HANDOFF_RATE = 2 # Percentage of sessions with the same user calling back. CALLBACK_SESSION_RATE = 3 # Percentage of sessions where user hung up. ABANDONED_SESSION_RATE = 4 # Percentage of sessions reached Dialogflow 'END_PAGE' or # 'END_SESSION'. SESSION_END_RATE = 5 end # Types of count-based metric for Dialogflow experiment. module CountType # Count type unspecified. COUNT_TYPE_UNSPECIFIED = 0 # Total number of occurrences of a 'NO_MATCH'. TOTAL_NO_MATCH_COUNT = 1 # Total number of turn counts. TOTAL_TURN_COUNT = 2 # Average turn count in a session. AVERAGE_TURN_COUNT = 3 end end |
#version_metrics ⇒ ::Array<::Google::Cloud::Dialogflow::CX::V3::Experiment::Result::VersionMetrics>
Returns Version variants and metrics.
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# File 'proto_docs/google/cloud/dialogflow/cx/v3/experiment.rb', line 112 class Result include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # A confidence interval is a range of possible values for the experiment # objective you are trying to measure. # @!attribute [rw] confidence_level # @return [::Float] # The confidence level used to construct the interval, i.e. there is X% # chance that the true value is within this interval. # @!attribute [rw] ratio # @return [::Float] # The percent change between an experiment metric's value and the value # for its control. # @!attribute [rw] lower_bound # @return [::Float] # Lower bound of the interval. # @!attribute [rw] upper_bound # @return [::Float] # Upper bound of the interval. class ConfidenceInterval include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Metric and corresponding confidence intervals. # @!attribute [rw] type # @return [::Google::Cloud::Dialogflow::CX::V3::Experiment::Result::MetricType] # Ratio-based metric type. Only one of type or count_type is specified in # each Metric. # @!attribute [rw] count_type # @return [::Google::Cloud::Dialogflow::CX::V3::Experiment::Result::CountType] # Count-based metric type. Only one of type or count_type is specified in # each Metric. # @!attribute [rw] ratio # @return [::Float] # Ratio value of a metric. # @!attribute [rw] count # @return [::Float] # Count value of a metric. # @!attribute [rw] confidence_interval # @return [::Google::Cloud::Dialogflow::CX::V3::Experiment::Result::ConfidenceInterval] # The probability that the treatment is better than all other treatments # in the experiment class Metric include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Version variant and associated metrics. # @!attribute [rw] version # @return [::String] # The name of the flow {::Google::Cloud::Dialogflow::CX::V3::Version Version}. # Format: # `projects/<ProjectID>/locations/<LocationID>/agents/<AgentID>/flows/<FlowID>/versions/<VersionID>`. # @!attribute [rw] metrics # @return [::Array<::Google::Cloud::Dialogflow::CX::V3::Experiment::Result::Metric>] # The metrics and corresponding confidence intervals in the inference # result. # @!attribute [rw] session_count # @return [::Integer] # Number of sessions that were allocated to this version. class VersionMetrics include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Types of ratio-based metric for Dialogflow experiment. module MetricType # Metric unspecified. METRIC_UNSPECIFIED = 0 # Percentage of contained sessions without user calling back in 24 hours. CONTAINED_SESSION_NO_CALLBACK_RATE = 1 # Percentage of sessions that were handed to a human agent. LIVE_AGENT_HANDOFF_RATE = 2 # Percentage of sessions with the same user calling back. CALLBACK_SESSION_RATE = 3 # Percentage of sessions where user hung up. ABANDONED_SESSION_RATE = 4 # Percentage of sessions reached Dialogflow 'END_PAGE' or # 'END_SESSION'. SESSION_END_RATE = 5 end # Types of count-based metric for Dialogflow experiment. module CountType # Count type unspecified. COUNT_TYPE_UNSPECIFIED = 0 # Total number of occurrences of a 'NO_MATCH'. TOTAL_NO_MATCH_COUNT = 1 # Total number of turn counts. TOTAL_TURN_COUNT = 2 # Average turn count in a session. AVERAGE_TURN_COUNT = 3 end end |