Qlik Sense Experiments API is one of 135 APIs that Qlik Sense publishes on the APIs.io network, described by a machine-readable OpenAPI specification.
Tagged areas include Experiments. The published artifact set on APIs.io includes an OpenAPI specification, API documentation, an API reference, and authentication docs.
This API exposes
13 operations
across 7 paths,
and defines 65 schemas.
It is described by OpenAPI 3.2.0.
Requests are made against a single base URL, https://{tenant}.{region}.qlikcloud.com.
The identity and technical contract details declared by the specification.
ModelGetResponse
object
1 property
1 required
EnumSortExperimentVersions
string
ExperimentMode
string
The model training mode for the experiment version
ColumnTransform
object
2 properties
2 required
ModelMetricsBinary
object
Binary metrics for categorical values with two options. Details: https://help.qlik.com/en-US/cloud-services/Subsystems/Hub/Content/SenseHub/AutoML/scoring-bina…
32 properties
Model
object
A model based on an algorithm within an experiment version.
23 properties
TrainingDuration
integer
Optional training duration in seconds. If not provided, max value used. If provided, min 900 (15m) and max 21600 (6h).
TenantId
string
Tenant ID for this entity
ExperimentPatchItem
object
Experiment fields that can be patched. The following paths all require value to be a string: /name, /spaceId, and /description
3 properties
3 required
FeaturesList
array
List of features from your dataset for creating Experiment Versions. This appears in from ProfileInsights response (in the defaultVersionConfig). You can adjus…
ModelStatus
string
Model status. These are the status of the model in relation to experiments (i.e. training status).
PreprocessedInsightColumn
object
Metadata about features/columns from dataset after preprocessing
3 properties
3 required
CreatedAt
string
Timestamp when this was created
ExperimentType
string
Experiment type
ExperimentVersionId
string
ID of the experiment version
DateIndexes
array
A optional date column name to index
BinaryImbalanceSampling
object
3 properties
ErrorMessage
string
JSON string of error object
FeatureType
string
The default feature type based on the feature's data type. If you want a value to be interpreted differently (e.g. 0/1 as categorical/boolean instead of numeri…
Failure
object
2 properties
1 required
ModelAlgorithm
string
Enumeration of model algorithms. A subset of these may be provided based on your ExperimentType. This is based on your target's featureType. When you select a…
ExperimentId
string
ID of the experiment
ExperimentVersionPatch
array
EntityId
string
ID of this entity
ModelState
string
Model state. These are the state of the model in relation to deployments.
ExperimentInput
object
Input for creating this entity
1 property
DroppedFeature
object
Feature dropped during preprocessing
2 properties
AnyType
Use for fields that can be any type (string, number, etc.)
ExperimentVersion
object
An AutoML experiment version. This is a configuration for training models within an experiment.
24 properties
9 required
ModelMetricsTimeseries
object
Timeseries metrics experiments valid for timeseries forecasting.
18 properties
ExperimentGetResponse
object
1 property
1 required
ModelFindResponse
object
3 properties
2 required
ModelMetricsRegression
object
Regression metrics for numeric values. Details: https://help.qlik.com/en-US/cloud-services/Subsystems/Hub/Content/SenseHub/AutoML/scoring-regression.htm
8 properties
DataType
string
The data type of this feature in your dataset
SpaceId
string
Space ID for this entity (empty string for personal space)
Transform
object
1 property
2 required
ModelMetricsMulticlass
object
Multiclass metrics for categorical values with 3+ options. Details: https://help.qlik.com/en-US/cloud-services/Subsystems/Hub/Content/SenseHub/AutoML/scoring-m…
10 properties
ExperimentFindResponse
object
3 properties
2 required
ModelMetrics
object
Model metrics based on the type of model
4 properties
ExperimentPostResponse
object
1 property
1 required
ExperimentVersionPostResponse
object
1 property
1 required
ModelAlgorithmAbbreviation
string
Model algorithm name abbreviation
ExperimentModelRecommendationFilter
object
Criteria to determine which pool of models to provide recommendations from
4 properties
EntityDescription
string
Description of this entity
EnumSortExperiments
string
Errors
array
JSON string with list of error objects
DataSetId
string
The Qlik catalog dataset ID
DatasetOrigin
string
Whether this is a new or other dataset
OwnerId
string
ID of owner/user for this entity
ExperimentModelRecommendationPostResponse
object
1 property
1 required
EntityName
string
Name of this entity
Feature
object
A feature (column) from your dataset
6 properties
UpdatedAt
string
Timestamp when this was updated
ExperimentVersionFindResponse
object
3 properties
2 required
FindResponseMeta
object
Meta for FIND operations
1 property
1 required
ExperimentVersionGetResponse
object
1 property
1 required
APIError
object
An error object
4 properties
2 required
ResponseLinks
object
Resource links included in paginated responses
5 properties
5 required
Experiment
object
An AutoML experiment
8 properties
6 required
ExperimentVersionInput
object
Input for creating a new experiment version. Defaults provided in the ProfileInsights response.
1 property
1 required
ChangeType
stringnull
Indicates if you want to change the featureType for this feature within the experiment version
Pipeline
object
Pipeline metadata including transformations to apply to columns and specific schema configuration data
1 property
The full machine-readable OpenAPI contract behind this narrative.
Other APIs Qlik Sense publishes across the network.
