/*
* Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License").
* You may not use this file except in compliance with the License.
* A copy of the License is located at
*
* http://aws.amazon.com/apache2.0
*
* or in the "license" file accompanying this file. This file is distributed
* on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either
* express or implied. See the License for the specific language governing
* permissions and limitations under the License.
*/
/*
* Do not modify this file. This file is generated from the evidently-2021-02-01.normal.json service model.
*/
using System;
using System.Collections.Generic;
using System.Xml.Serialization;
using System.Text;
using System.IO;
using System.Net;
using Amazon.Runtime;
using Amazon.Runtime.Internal;
namespace Amazon.CloudWatchEvidently.Model
{
///
/// Container for the parameters to the CreateExperiment operation.
/// Creates an Evidently experiment. Before you create an experiment, you must
/// create the feature to use for the experiment.
///
///
///
/// An experiment helps you make feature design decisions based on evidence and data.
/// An experiment can test as many as five variations at once. Evidently collects experiment
/// data and analyzes it by statistical methods, and provides clear recommendations about
/// which variations perform better.
///
///
///
/// You can optionally specify a segment
to have the experiment consider
/// only certain audience types in the experiment, such as using only user sessions from
/// a certain location or who use a certain internet browser.
///
///
///
/// Don't use this operation to update an existing experiment. Instead, use UpdateExperiment.
///
///
///
public partial class CreateExperimentRequest : AmazonCloudWatchEvidentlyRequest
{
private string _description;
private List _metricGoals = new List();
private string _name;
private OnlineAbConfig _onlineAbConfig;
private string _project;
private string _randomizationSalt;
private long? _samplingRate;
private string _segment;
private Dictionary _tags = new Dictionary();
private List _treatments = new List();
///
/// Gets and sets the property Description.
///
/// An optional description of the experiment.
///
///
[AWSProperty(Min=0, Max=160)]
public string Description
{
get { return this._description; }
set { this._description = value; }
}
// Check to see if Description property is set
internal bool IsSetDescription()
{
return this._description != null;
}
///
/// Gets and sets the property MetricGoals.
///
/// An array of structures that defines the metrics used for the experiment, and whether
/// a higher or lower value for each metric is the goal.
///
///
[AWSProperty(Required=true, Min=1, Max=3)]
public List MetricGoals
{
get { return this._metricGoals; }
set { this._metricGoals = value; }
}
// Check to see if MetricGoals property is set
internal bool IsSetMetricGoals()
{
return this._metricGoals != null && this._metricGoals.Count > 0;
}
///
/// Gets and sets the property Name.
///
/// A name for the new experiment.
///
///
[AWSProperty(Required=true, Min=1, Max=127)]
public string Name
{
get { return this._name; }
set { this._name = value; }
}
// Check to see if Name property is set
internal bool IsSetName()
{
return this._name != null;
}
///
/// Gets and sets the property OnlineAbConfig.
///
/// A structure that contains the configuration of which variation to use as the "control"
/// version. tThe "control" version is used for comparison with other variations. This
/// structure also specifies how much experiment traffic is allocated to each variation.
///
///
public OnlineAbConfig OnlineAbConfig
{
get { return this._onlineAbConfig; }
set { this._onlineAbConfig = value; }
}
// Check to see if OnlineAbConfig property is set
internal bool IsSetOnlineAbConfig()
{
return this._onlineAbConfig != null;
}
///
/// Gets and sets the property Project.
///
/// The name or ARN of the project that you want to create the new experiment in.
///
///
[AWSProperty(Required=true, Min=0, Max=2048)]
public string Project
{
get { return this._project; }
set { this._project = value; }
}
// Check to see if Project property is set
internal bool IsSetProject()
{
return this._project != null;
}
///
/// Gets and sets the property RandomizationSalt.
///
/// When Evidently assigns a particular user session to an experiment, it must use a randomization
/// ID to determine which variation the user session is served. This randomization ID
/// is a combination of the entity ID and randomizationSalt
. If you omit
/// randomizationSalt
, Evidently uses the experiment name as the randomizationSalt
.
///
///
[AWSProperty(Min=0, Max=127)]
public string RandomizationSalt
{
get { return this._randomizationSalt; }
set { this._randomizationSalt = value; }
}
// Check to see if RandomizationSalt property is set
internal bool IsSetRandomizationSalt()
{
return this._randomizationSalt != null;
}
///
/// Gets and sets the property SamplingRate.
///
/// The portion of the available audience that you want to allocate to this experiment,
/// in thousandths of a percent. The available audience is the total audience minus the
/// audience that you have allocated to overrides or current launches of this feature.
///
///
///
/// This is represented in thousandths of a percent. For example, specify 10,000 to allocate
/// 10% of the available audience.
///
///
[AWSProperty(Min=0, Max=100000)]
public long SamplingRate
{
get { return this._samplingRate.GetValueOrDefault(); }
set { this._samplingRate = value; }
}
// Check to see if SamplingRate property is set
internal bool IsSetSamplingRate()
{
return this._samplingRate.HasValue;
}
///
/// Gets and sets the property Segment.
///
/// Specifies an audience segment to use in the experiment. When a segment is used
/// in an experiment, only user sessions that match the segment pattern are used in the
/// experiment.
///
///
[AWSProperty(Min=0, Max=2048)]
public string Segment
{
get { return this._segment; }
set { this._segment = value; }
}
// Check to see if Segment property is set
internal bool IsSetSegment()
{
return this._segment != null;
}
///
/// Gets and sets the property Tags.
///
/// Assigns one or more tags (key-value pairs) to the experiment.
///
///
///
/// Tags can help you organize and categorize your resources. You can also use them to
/// scope user permissions by granting a user permission to access or change only resources
/// with certain tag values.
///
///
///
/// Tags don't have any semantic meaning to Amazon Web Services and are interpreted strictly
/// as strings of characters.
///
///
///
/// You can associate as many as 50 tags with an experiment.
///
///
///
/// For more information, see Tagging
/// Amazon Web Services resources.
///
///
public Dictionary Tags
{
get { return this._tags; }
set { this._tags = value; }
}
// Check to see if Tags property is set
internal bool IsSetTags()
{
return this._tags != null && this._tags.Count > 0;
}
///
/// Gets and sets the property Treatments.
///
/// An array of structures that describe the configuration of each feature variation used
/// in the experiment.
///
///
[AWSProperty(Required=true, Min=0, Max=5)]
public List Treatments
{
get { return this._treatments; }
set { this._treatments = value; }
}
// Check to see if Treatments property is set
internal bool IsSetTreatments()
{
return this._treatments != null && this._treatments.Count > 0;
}
}
}