Dialogflow v3 API - Class Experiment.Types.Result.Types.ConfidenceInterval (2.5.0)
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public sealed class ConfidenceInterval : IMessage<Experiment.Types.Result.Types.ConfidenceInterval>, IEquatable<Experiment.Types.Result.Types.ConfidenceInterval>, IDeepCloneable<Experiment.Types.Result.Types.ConfidenceInterval>, IBufferMessage, IMessage

Reference documentation and code samples for the Dialogflow v3 API class Experiment.Types.Result.Types.ConfidenceInterval.

A confidence interval is a range of possible values for the experiment objective you are trying to measure.

Inheritance

Object > Experiment.Types.Result.Types.ConfidenceInterval

Implements

IMessage<Experiment.Types.Result.Types.ConfidenceInterval>, IEquatable<Experiment.Types.Result.Types.ConfidenceInterval>, IDeepCloneable<Experiment.Types.Result.Types.ConfidenceInterval>, IBufferMessage, IMessage

Inherited Members

Object.GetHashCode()

Object.GetType()

Object.MemberwiseClone()

Object.ToString()

Namespace

Google.Cloud.Dialogflow.Cx.V3

Assembly

Google.Cloud.Dialogflow.Cx.V3.dll

Constructors

ConfidenceInterval()

public ConfidenceInterval()

ConfidenceInterval(Experiment.Types.Result.Types.ConfidenceInterval)

public ConfidenceInterval(Experiment.Types.Result.Types.ConfidenceInterval other)

Parameter
Name	Description
`other`	`Experiment.Types.Result.Types.ConfidenceInterval`

Properties

ConfidenceLevel

public double ConfidenceLevel { get; set; }

The confidence level used to construct the interval, i.e. there is X% chance that the true value is within this interval.

Property Value
Type	Description
`Double`

LowerBound

public double LowerBound { get; set; }

Lower bound of the interval.

Property Value
Type	Description
`Double`

Ratio

public double Ratio { get; set; }

The percent change between an experiment metric's value and the value for its control.

Property Value
Type	Description
`Double`

UpperBound

public double UpperBound { get; set; }

Upper bound of the interval.

Property Value
Type	Description
`Double`

Dialogflow v3 API - Class Experiment.Types.Result.Types.ConfidenceInterval (2.5.0) Stay organized with collections Save and categorize content based on your preferences.