For a high-level understanding of the concepts of this engine, please have a look at the Constraint Navigator User Guide.

The following is a description how to setup and configure this service. All configuration classes are described here.

Failures of the application can lead to following errors:

• DtoParseException
• DtoValidationException
• DtoEngineException
• DtoFileNotFoundException
• DtoInterruptedException
• DtoInternalServerException

Configuration, DtoAbstractCategory, DtoAbstractColumnInterpreter, DtoAbstractColumnValue, DtoAbstractCondition, DtoAbstractCost, DtoAbstractError, DtoAbstractFeatureReport, DtoAbstractFunction, DtoAbstractInferenceSignalSpecification, DtoAbstractModelRef, DtoAbstractNotificationBackendConfig, DtoAbstractSignalAspectReport, DtoAbstractSignalDataReport, DtoAbstractSignalInterpreter, DtoAbstractTargetAspectReport, DtoAbstractTimeseries, DtoAbstractTimeseriesDataFilter, DtoAbstractTimestampsConfig, DtoAdditionalTimeseries, DtoAggregatedCategoricalFeatureReport, DtoAggregatedCategoricalFunction, DtoAggregatedNumericalFeatureReport, DtoAggregatedNumericalFunction, DtoAggregationType, DtoAnomalyDetectionModelRef, DtoAppInfo, DtoArgMaxFunction, DtoArgumentValidationError, DtoAtNextSignalValueTimestampsConfig, DtoAwsSqsNotificationBackendConfig, DtoBooleanCategory, DtoBooleanCategoryWithProbability, DtoBooleanCell, DtoBooleanColumnValue, DtoBooleanDataPoint, DtoBooleanDataPointWithAvailability, DtoBooleanDataPointWithCategoryProbabilities, DtoBooleanTimeseries, DtoBooleanWithCategoryProbabilitiesTimeseries, DtoBuildInfo, DtoCategoricalColumnInterpreter, DtoCategoricalFunctionEvalType, DtoCategoricalSignalAspectReport, DtoCategoricalSignalInterpreter, DtoCategoryEqualsFunction, DtoClusterId, DtoColumnConfig, DtoColumnDataTypeUnexpectedError, DtoColumnId, DtoColumnIdAlreadyInUseError, DtoColumnInterpreterAmbiguousError, DtoColumnNotFoundError, DtoConstantFunction, DtoConstraint, DtoConstraintNavigatorHubModelUnsuitedError, DtoControlPointId, DtoCorrelation, DtoCosFunction, DtoCyclicSignalAspectReport, DtoCyclicSignalInterpreter, DtoDataConcurrentModificationError, DtoDataFilter, DtoDataFilterRange, DtoDataQualityInsufficientError, DtoDataQuantityInsufficientError, DtoDataReport, DtoDataType, DtoDefaultColumnInterpreter, DtoDefaultSignalInterpreter, DtoDefaultTimeseriesDataFilter, DtoDynamicNumericalCondition, DtoEngineException, DtoEquidistantTimestampsConfig, DtoErrorParam, DtoException, DtoExponentialFunction, DtoExpression, DtoExpressionInfo, DtoExpressionResultDataTypeUnexpectedError, DtoExpressionRuntimeFailureError, DtoExpressionSyntaxFailureError, DtoFeature, DtoFeatureFilter, DtoFeatureId, DtoFeatureValue, DtoFeatureValueWithNextNormal, DtoFileNotFoundException, DtoFilesFilter, DtoFloat, DtoFloatCategory, DtoFloatCategoryWithProbability, DtoFloatCell, DtoFloatColumnValue, DtoFloatConstraintValue, DtoFloatConstraintValueWithNextNormal, DtoFloatConstraintValues, DtoFloatConstraintValuesWithNextNormal, DtoFloatCostValue, DtoFloatCostValueWithNextNormal, DtoFloatDataPoint, DtoFloatDataPointWithAvailability, DtoFloatDataPointWithCategoryProbabilities, DtoFloatDataPointWithNextNormal, DtoFloatNextNormalConfig, DtoFloatTimeseries, DtoFloatWithCategoryProbabilitiesTimeseries, DtoFloatWithNextNormalTimeseries, DtoFourierTransformFunction, DtoFunctionId, DtoGaussCdfFunction, DtoHandleDanglingError, DtoHandleTypeUnexpectedError, DtoHref, DtoHubConfig, DtoHubConfigNode, DtoHubModel, DtoHubReport, DtoId, DtoIdCategoryEntry, DtoIdCategoryMapFunction, DtoIdCategoryProbaMapFunction, DtoIdentityFunction, DtoIncrementalLearningDataQualityInsufficientError, DtoIncrementalLearningModelCorruptedError, DtoInferenceConfig, DtoInferenceConfigWithModel, DtoInferenceDataPredecessorMissingError, DtoInferenceDataSpecification, DtoInferenceDataTypeUnexpectedError, DtoInferenceOutputTargetInterpreterTypeUnexpectedError, DtoInferenceOutputTypeUnexpectedError, DtoInferenceRawSignalSpecification, DtoInferenceRawSignalSpecificationDataTypeAmbiguousError, DtoInferenceSynthesizedSignalSpecification, DtoInferenceTimeseriesDataFilter, DtoInteger, DtoInternalEngineFailureError, DtoInternalServerException, DtoInterruptedException, DtoInterval, DtoIntervalBeforeIncident, DtoIntervalWithoutIncident, DtoJsonParseFailureError, DtoJsonValidationFailureError, DtoKernelModelComponent, DtoKernelModelFunction, DtoKernelType, DtoL1DistanceCost, DtoL2DistanceCost, DtoLagFeatureReport, DtoLagFunction, DtoLicenseApiKeyNotFoundError, DtoLicenseInsufficientError, DtoLicenseServerCommunicationFailureError, DtoLogSumExpFunction, DtoLogarithmFunction, DtoLogisticFunction, DtoLongString, DtoLtiFilterFeatureReport, DtoLtiFilterFunction, DtoMaxFunction, DtoMediumString, DtoMissingConstraintsError, DtoModelConstraint, DtoModelConstraintNotFoundError, DtoModelCost, DtoModelId, DtoModelSpecification, DtoMollifierFunction, DtoNonNegativeDuration, DtoNonNegativeFloat, DtoNonNegativeInteger, DtoNoneNotificationBackendConfig, DtoNotification, DtoNumericalColumnInterpreter, DtoNumericalFunctionEvalType, DtoNumericalSignalAspectReport, DtoNumericalSignalInterpreter, DtoNumericalTargetAspectReport, DtoOperativeSignalMissingTrueValuesError, DtoOptimizationInterest, DtoOscillatoryPhaseSignalAspectReport, DtoOscillatoryPowerSignalAspectReport, DtoOscillatorySignalInterpretationFailure, DtoOscillatorySignalInterpreter, DtoOutputConfig, DtoOutputConfigNode, DtoParseException, DtoPath, DtoPercentage, DtoPhaseSpectrumFunction, DtoPointerForeignError, DtoPointerTypeUnexpectedError, DtoPositiveDuration, DtoPositiveFloat, DtoPositiveInteger, DtoPowerSpectrumFunction, DtoPredicate, DtoPrincipalDirectionFunction, DtoProducer, DtoProductFunction, DtoRawSignalDataReport, DtoReluFunction, DtoScaleFunction, DtoSegmentFloatValue, DtoSegmentFloatValueWithNextNormal, DtoSegmentId, DtoSegmentNotFoundError, DtoSegmentsFloatDataPoint, DtoSegmentsFloatDataPointWithNextNormal, DtoSegmentsFloatTimeseries, DtoSegmentsFloatWithNextNormalTimeseries, DtoSemVer, DtoSha1, DtoSignalConstraint, DtoSignalConstraintInterpreterUnexpectedError, DtoSignalDataTypeUnexpectedError, DtoSignalFunction, DtoSignalId, DtoSignalIdAlreadyInUseError, DtoSignalInterpreterAmbiguousError, DtoSignalNotFoundError, DtoSignalPredictionModelRef, DtoSignalReport, DtoSignalTemperature, DtoSinFunction, DtoStateChangedNotification, DtoStateDetectionModelRef, DtoStaticNumericalCondition, DtoStepFunction, DtoStringCategory, DtoStringCategoryWithProbability, DtoStringCell, DtoStringColumnValue, DtoStringDataPoint, DtoStringDataPointWithAvailability, DtoStringDataPointWithCategoryProbabilities, DtoStringEncodingInvalidError, DtoStringTimeseries, DtoStringWithCategoryProbabilitiesTimeseries, DtoSumFunction, DtoSymmetricBlockDiagonalMatrix, DtoSymmetricMatrix, DtoSynthesizedSignalConfig, DtoSynthesizedSignalDataReport, DtoTabularDataConfig, DtoTabularDataFilter, DtoTabularDataTypesConfig, DtoTabularFilesReaderConfig, DtoTabularOutputConfig, DtoTargetSignalDataTypeUnexpectedError, DtoTargetSignalLowQualityError, DtoTargetSignalNotFoundError, DtoTargetSignalTooManyCategoriesError, DtoTemperaturesDataPoint, DtoTemperaturesTimeseries, DtoTenantId, DtoTime, DtoTimeseriesDataConfig, DtoTimeseriesDataTypesConfig, DtoTimeseriesFilesReaderConfig, DtoTreeModelFunction, DtoTreeNode, DtoTreeNodeId, DtoUuid, DtoValidationException, DtoWebserverConfig, DtoWeightColumnNegativeValueError

Root configuration for this application.

Type: Object

Property	Type	Markers	Description
webServer	DtoWebserverConfig	optional	Configuration for web server application.
notificationBackend	DtoAbstractNotificationBackendConfig	optional	Configuration for push notifications.
hub	DtoHubConfigNode	-	Configuring Hub and Model Context
output	DtoOutputConfigNode	-	Configure the output of the hub worker which is to be stored in a folder.

Integer/Number Type

Type: Number
Restrictions: int64

Type: String
Restrictions: size <= 256

Type: String
Restrictions: size <= 4096

A version 4 Uuid.

Type: String
Restrictions: exp = [0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}

Type: String
Restrictions: exp = ^.*$, size >= 1, size <= 256

Type: String
Restrictions: exp = ^\S+$, size >= 1, size <= 256

Type: Number
Restrictions: int64, >= 0.0

Type: String
Restrictions: exp = ^https://.*$, size >= 1, size <= 256

Type: String
Restrictions: exp = ^[a-f0-9]{40}$

Type: String
Restrictions: exp = ^(0|[1-9]\d*)\.(0|[1-9]\d*)\.(0|[1-9]\d*)(?:-((?:0|[1-9]\d*|\d*[a-zA-Z-][0-9a-zA-Z-]*)(?:\.(?:0|[1-9]\d*|\d*[a-zA-Z-][0-9a-zA-Z-]*))*))?(?:\+([0-9a-zA-Z-]+(?:\.[0-9a-zA-Z-]+)*))?$, size <= 256

Type: String
Restrictions: exp = ^[1-9]\d{2,}$

Examples:

Abstract type for any kind of exception.

Type: Object
Sub-Types: DtoValidationException, DtoParseException, DtoInterruptedException, DtoInternalServerException, DtoFileNotFoundException, DtoEngineException
Discriminator: _type

Property	Type	Markers	Description
_type	String	-	-
title	DtoMediumString	-	-
message	DtoLongString	-	-

The validation of an object failed.

Type: Object
Super-Types: DtoException
Discriminator: _type
Discriminator-Value: DtoValidationException

Property	Type	Markers	Description
_type	String	-	-
title	DtoMediumString	-	-
message	DtoLongString	-	-
constraints	DtoConstraint[]	-	-

A given object couldn't be interpreted.

Type: Object
Super-Types: DtoException
Discriminator: _type
Discriminator-Value: DtoParseException

Property	Type	Markers	Description
_type	String	-	-
title	DtoMediumString	-	-
message	DtoLongString	-	-

The process was interrupted.

Type: Object
Super-Types: DtoException
Discriminator: _type
Discriminator-Value: Interrupted

Property	Type	Markers	Description
_type	String	-	-
title	DtoMediumString	-	-
message	DtoLongString	-	-

Something went wrong (This can be considered as a bug)

Type: Object
Super-Types: DtoException
Discriminator: _type
Discriminator-Value: InternalServer

Property	Type	Markers	Description
_type	String	-	-
title	DtoMediumString	-	-
message	DtoLongString	-	-

Type: Object

Property	Type	Markers	Description
name	String	-	-
path	String	-	-
restriction	String	-	-
value	String	-	-

Information about this application

Type: Object

Property	Type	Markers	Description
id	DtoId	-	Unique id
label	DtoMediumString	-	Display name
project	DtoId	-	Parent project name
build	DtoBuildInfo	optional	Additional build information

Type: Object

Property	Type	Markers	Description
id	DtoId	-	-
time	DtoTime	-	-
commit	DtoSha1	-	-
version	DtoSemVer	-	-

A message from a docker container

Type: Object
Sub-Types: DtoStateChangedNotification
Discriminator: _type

Property	Type	Markers	Description
_type	String	-	-
sender	DtoLongString	-	-
context	DtoLongString	-	-
timestamp	DtoTime	-	-

A message from a docker containers about the state it just entered

Type: Object
Super-Types: DtoNotification
Discriminator: _type
Discriminator-Value: StateChanged

Property	Type	Markers	Description
_type	String	-	-
sender	DtoLongString	-	-
context	DtoLongString	-	-
timestamp	DtoTime	-	-
index	DtoInteger	-	-
name	DtoLongString	-	-
count	DtoInteger	-	-
error	DtoException	optional	-

Configuration for web server application.

@configurationNode: webServer

Type: Object

Property	Type	Markers	Description
host	String exp = ^(?!\s*$).+	default: 0.0.0.0	Name of host or IP this web server is running on.
port	Number int32, >= 1.0	default: 8080	Number of port this web server should be bound to.
contextPath	String exp = ^/[a-zA-Z0-9]*$	default: /app	The context path defines the URL that users will access the application from, e.g. http://host:port/contextPath.

Configuration for push notifications.

@configurationNode: notificationBackend

Type: Object
Sub-Types: DtoNoneNotificationBackendConfig, DtoAwsSqsNotificationBackendConfig
Discriminator: _type

Property	Type	Markers	Description
_type	String	-	-

Type: Object
Super-Types: DtoAbstractNotificationBackendConfig
Discriminator: _type
Discriminator-Value: None

Property	Type	Markers	Description
_type	String	-	-

Type: Object
Super-Types: DtoAbstractNotificationBackendConfig
Discriminator: _type
Discriminator-Value: AwsSqs

Property	Type	Markers	Description
_type	String	-	-
queueArn	String	-	-
sender	String	-	-
context	String	-	-

No file could be found at the configured path.

Type: Object
Super-Types: DtoException
Discriminator: _type
Discriminator-Value: FileNotFound

Property	Type	Markers	Description
_type	String	-	-
title	DtoMediumString	-	-
message	DtoLongString	-	-

Interprets the signal values and derives aspects from them.

@abstract

Type: Object
Sub-Types: DtoDefaultSignalInterpreter, DtoNumericalSignalInterpreter, DtoCategoricalSignalInterpreter, DtoOscillatorySignalInterpreter, DtoCyclicSignalInterpreter
Discriminator: _type

Property	Type	Markers	Description
_type	String	-	Type of this object.

Interprets float signals via DtoNumericalSignalInterpreter and string and boolean signals via DtoCategoricalSignalInterpreter.

Type: Object
Super-Types: DtoAbstractSignalInterpreter
Discriminator: _type
Discriminator-Value: Default

Property	Type	Markers	Description
_type	String	-	Type of this object.

Interprets the signal as being numerical. The natural order of the different values is taken into account.

Type: Object
Super-Types: DtoAbstractSignalInterpreter
Discriminator: _type
Discriminator-Value: Numerical

Property	Type	Markers	Description
_type	String	-	Type of this object.

Interprets the different signal values as categories, which have no order. For every category a categorical boolean aspect is derived, which yields true if the signal value equals that category. This is the only allowed interpreter for string and boolean signals.

Type: Object
Super-Types: DtoAbstractSignalInterpreter
Discriminator: _type
Discriminator-Value: Categorical

Property	Type	Markers	Description
_type	String	-	Type of this object.

Interprets the signal as an oscillatory wave. It is transformed from time- to frequency-domain.

Type: Object
Super-Types: DtoAbstractSignalInterpreter
Discriminator: _type
Discriminator-Value: Oscillatory

Property	Type	Markers	Description
_type	String	-	Type of this object.
windowLength	DtoPositiveDuration	-	Length of the time window the frequency spectra are calculated for. The underlying discrete Fourier transform is based on the data at "t", "t - mesh", "t - 2*mesh", ... stopping before "t - windowLength".
mesh	DtoPositiveDuration	-	Time resolution of the source signal that is used in window for computing Fourier transform. Timestamps with gaps of more than 2*mesh in their Fourier window are skipped. Mesh must not be bigger than window_length.

Interprets the signal as a cyclic variable, based on their residue after division. An important example are angles with a cycle length of 360 degrees. The wrapping at the cycle length is continuous, e.g. 2 degree are considered close to 357 degrees.

Type: Object
Super-Types: DtoAbstractSignalInterpreter
Discriminator: _type
Discriminator-Value: Cyclic

Property	Type	Markers	Description
_type	String	-	Type of this object.
cycleLength	DtoPositiveFloat	-	Divisor used to calculate the residue. All signal values are mapped into the interval from 0 to cycle length.

Handling of a specific column.

Type: Object

Property	Type	Markers	Description
column	DtoColumnId	-	ID of the column.
interpreter	DtoAbstractColumnInterpreter	optional, default: {"_type":"Default"}	Controls how this column will be interpreted.

Interprets the column values and splits them into different categories

@abstract

Type: Object
Sub-Types: DtoNumericalColumnInterpreter, DtoCategoricalColumnInterpreter, DtoDefaultColumnInterpreter
Discriminator: _type

Property	Type	Markers	Description
_type	String	-	Type of this object.

Interprets the column as being numerical. The natural order of the different values is taken into account. The engine will split the values of this column into ranges. This interpreter is only allowed for float columns.

Type: Object
Super-Types: DtoAbstractColumnInterpreter
Discriminator: _type
Discriminator-Value: Numerical

Property	Type	Markers	Description
_type	String	-	Type of this object.
quantileCount	DtoPositiveInteger	optional, default: 20	Split the value range into this many quantiles. Values in the same quantile will not be differntiated by the engine.

Interprets the different column values as categories, which have no order. The engine will consider DtoCategorySetPredicates for this column. This is the only allowed interpreter for string and boolean column.

Type: Object
Super-Types: DtoAbstractColumnInterpreter
Discriminator: _type
Discriminator-Value: Categorical

Property	Type	Markers	Description
_type	String	-	Type of this object.

Interprets float columns via DtoNumericalColumnInterpreter and string and boolean columns via DtoCategoricalColumnInterpreter.

Type: Object
Super-Types: DtoAbstractColumnInterpreter
Discriminator: _type
Discriminator-Value: Default

Property	Type	Markers	Description
_type	String	-	Type of this object.

Specification of the type of data.

Type: String
Enum: BOOLEAN, FLOAT, STRING

Limits the use of the data based on certain criteria.

Type: Object

Property	Type	Markers	Description
includeSignals	DtoDataFilterRange[]	optional	If present, restrict to these signal ranges.
excludeSignals	DtoDataFilterRange[]	optional	If present, exclude all these signal ranges.
includeRanges	DtoInterval[]	optional	If present, restrict to these ranges for all signals.
excludeRanges	DtoInterval[]	optional	If present, exclude these ranges for all signals.
startTime	DtoTime	optional	If present, exclude all data before this time. If both startTime and endTime are present we require startTime ≤ endTime.
endTime	DtoTime	optional	If present, exclude all data at or after this time. If both startTime and endTime are present we require startTime ≤ endTime.

Time range of a specific signal.

Type: Object

Property	Type	Markers	Description
signal	DtoSignalId	-	ID of the signal.
startTime	DtoTime	optional	If present, the range only includes times at or after this time. If both startTime and endTime are present we require startTime ≤ endTime.
endTime	DtoTime	optional	If present, the range only includes times before this time. If both startTime and endTime are present we require startTime ≤ endTime.

Interval used to exclude/include data.

Type: Object

Property	Type	Markers	Description
startTime	DtoTime	optional	If present, the range only includes times at or after this time. If both startTime and endTime are present we require startTime ≤ endTime.
endTime	DtoTime	optional	If present, the range only includes times before this time. If both startTime and endTime are present we require startTime ≤ endTime.

Interval used to exclude/include data with an annotation denoting an estimated origin for an incident. This interval type is used for storing intervals before events (or incidents) for the state detection engine.

Type: Object

Property	Type	Markers	Description
startTime	DtoTime	optional	If present, the range only includes times at or after this time. If both startTime and endTime are present we require startTime ≤ endTime.
endTime	DtoTime	optional	If present, the range only includes times before this time. If both startTime and endTime are present we require startTime ≤ endTime.

Interval used to exclude/include data with an annotation denoting an estimated origin for an incident. This interval type is used for storing intervals before events (or incidents) for the state detection engine.

Type: Object

Property	Type	Markers	Description
startTime	DtoTime	optional	If present, the range only includes times at or after this time. If both startTime and endTime are present we require startTime ≤ endTime.
endTime	DtoTime	optional	If present, the range only includes times before this time. If both startTime and endTime are present we require startTime ≤ endTime.

Information about the data.

Type: Object

Property	Type	Markers	Description
signals	DtoAbstractSignalDataReport[]	-	Information on all signals in the data.

Information on a specific signal in the data.

@abstract

Type: Object
Sub-Types: DtoRawSignalDataReport, DtoSynthesizedSignalDataReport
Discriminator: _type

Property	Type	Markers	Description
_type	String	-	Type of this object.
signal	DtoSignalId	-	ID of the signal.
dataType	DtoDataType	-	Data type of the signal.

Information on a specific signal in the data, whose values were added directly.

Type: Object
Super-Types: DtoAbstractSignalDataReport
Discriminator: _type
Discriminator-Value: Raw

Property	Type	Markers	Description
_type	String	-	Type of this object.
signal	DtoSignalId	-	ID of the signal.
dataType	DtoDataType	-	Data type of the signal.

Information on a specific signal in the data, whose values were calculated by an expression (synthesized).

Type: Object
Super-Types: DtoAbstractSignalDataReport
Discriminator: _type
Discriminator-Value: Synthesized

Property	Type	Markers	Description
_type	String	-	Type of this object.
signal	DtoSignalId	-	ID of the signal.
dataType	DtoDataType	-	Data type of the signal.
expression	String	-	Expression by which this signal was synthesized.
involvedSignals	DtoSignalId[]	-	Source signals that were used in the expression to synthesize the signal.

Specification for the data needed at the inference.

Type: Object

Property	Type	Markers	Description
signals	DtoAbstractInferenceSignalSpecification[]	-	Specification for all signals needed at the inference.

Specification for a specific signal needed at the inference.

@abstract

Type: Object
Sub-Types: DtoInferenceRawSignalSpecification, DtoInferenceSynthesizedSignalSpecification
Discriminator: _type

Property	Type	Markers	Description
_type	String	-	Type of this object.
signal	DtoSignalId	-	ID of the signal.
dataType	DtoDataType	-	Data type of the signal.

Specification for a specific signal needed at the inference, whose values were added directly.

Type: Object
Super-Types: DtoAbstractInferenceSignalSpecification
Discriminator: _type
Discriminator-Value: Raw

Property	Type	Markers	Description
_type	String	-	Type of this object.
signal	DtoSignalId	-	ID of the signal.
dataType	DtoDataType	-	Data type of the signal.
startLag	DtoNonNegativeDuration	-	Start of the time window measured as duration until the inference timestamp.
endLag	DtoNonNegativeDuration	-	End of the time window (inclusive), measured as duration until the inference timestamp.

Specification for a specific signal needed at the inference, whose values were calculated by an expression (synthesized).

Type: Object
Super-Types: DtoAbstractInferenceSignalSpecification
Discriminator: _type
Discriminator-Value: Synthesized

Property	Type	Markers	Description
_type	String	-	Type of this object.
signal	DtoSignalId	-	ID of the signal.
dataType	DtoDataType	-	Data type of the signal.
expression	String	-	Expression by which this signal was synthesized.
involvedSignals	DtoSignalId[]	-	Source signals that were used in the expression to synthesize the signal.

Limits the use of features based on certain criteria.

Type: Object

Property	Type	Markers	Description
includeFeatures	DtoFunctionId[]	optional	If present, restrict to these features.
excludeFeatures	DtoFunctionId[]	optional	If present, exclude all these features.
includeSignals	DtoSignalId[]	optional	If present, restrict to the features created by these signals.
excludeSignals	DtoSignalId[]	optional	If present, exclude all features created by these signals.

Limits the use of the data based on certain criteria.

Type: Object

Property	Type	Markers	Description
includeColumns	DtoColumnId[]	optional	If present, include only these columns.
excludeColumns	DtoColumnId[]	optional	If present, exclude all these columns.

Type: Object
Sub-Types: DtoTimeseriesDataConfig

Property	Type	Markers	Description
folder	String	-	Path to the archive folder
filesFilter	DtoFilesFilter	optional	files to include and/or exclude from the folder
dataFilter	DtoAbstractTimeseriesDataFilter	optional	-
dataTypes	DtoTimeseriesDataTypesConfig	optional	-
ignoreSignalAvailabilities	Boolean	optional, default: false	Availability timestamps of inference data are considered or not. If no availabilities are given, this configuration is irrelevant.
dev	Any	optional	Unstable and undocumented configuration options. Developers only.

@abstract

Type: Object
Sub-Types: DtoDefaultTimeseriesDataFilter, DtoInferenceTimeseriesDataFilter
Discriminator: _type

Property	Type	Markers	Description
_type	String	-	Type of this object

Type: Object
Super-Types: DtoAbstractTimeseriesDataFilter
Discriminator: _type
Discriminator-Value: Default

Property	Type	Markers	Description
_type	String	-	Type of this object
includeSignals	DtoDataFilterRange[]	optional	If present, restrict to these signal ranges.
excludeSignals	DtoDataFilterRange[]	optional	If present, exclude all these signal ranges.
includeRanges	DtoInterval[]	optional	If present, restrict to these ranges for all signals.
excludeRanges	DtoInterval[]	optional	If present, exclude these ranges for all signals.
startTime	DtoTime	optional	If present, exclude all data before this time. If both startTime and endTime are present we require startTime ≤ endTime.
endTime	DtoTime	optional	If present, exclude all data at or after this time. If both startTime and endTime are present we require startTime ≤ endTime.

Type: Object
Super-Types: DtoAbstractTimeseriesDataFilter
Discriminator: _type
Discriminator-Value: Inference

Property	Type	Markers	Description
_type	String	-	Type of this object
dataSpecifications	DtoInferenceDataSpecification[]	-	At least one must be given
additionalSignals	DtoSignalId[]	optional, default: []	additional signals to read
inferenceTimeRanges	DtoInterval[]	-	-

Type: Object

Property	Type	Markers	Description
defaultType	DtoDataType	optional, default: FLOAT	-
floatSignals	DtoSignalId[]	optional	-
stringSignals	DtoSignalId[]	optional	-
booleanSignals	DtoSignalId[]	optional	-

Type: Object
Sub-Types: DtoTabularDataConfig

Property	Type	Markers	Description
folder	String	-	Path to the archive folder
filesFilter	DtoFilesFilter	optional	files to include and/or exclude from the folder
dataFilter	DtoTabularDataFilter	optional	-
dataTypes	DtoTabularDataTypesConfig	optional	-
dev	Any	optional	Unstable and undocumented configuration options. Developers only.

Type: Object

Property	Type	Markers	Description
defaultType	DtoDataType	optional, default: FLOAT	-
floatColumns	DtoColumnId[]	optional	-
stringColumns	DtoColumnId[]	optional	-
booleanColumns	DtoColumnId[]	optional	-

Type: Object

Property	Type	Markers	Description
includeFiles	String[]	optional	files to read from the folder and its sub-folders, perhaps regex
excludeFiles	String[]	optional	files to exclude from the folder and its sub-folders, perhaps regex.

Parts of the formula describing the calculation while inference. Functions are succesively evaluated on signals and other functions to derive a final inference result.

@abstract

Type: Object
Sub-Types: DtoSignalFunction, DtoLagFunction, DtoLtiFilterFunction, DtoCategoryEqualsFunction, DtoFourierTransformFunction, DtoPowerSpectrumFunction, DtoPhaseSpectrumFunction, DtoSinFunction, DtoCosFunction, DtoScaleFunction, DtoPrincipalDirectionFunction, DtoLogisticFunction, DtoReluFunction, DtoIdentityFunction, DtoMollifierFunction, DtoIdCategoryMapFunction, DtoIdCategoryProbaMapFunction, DtoSumFunction, DtoLogSumExpFunction, DtoMaxFunction, DtoArgMaxFunction, DtoProductFunction, DtoConstantFunction, DtoStepFunction, DtoLogarithmFunction, DtoExponentialFunction, DtoGaussCdfFunction, DtoAggregatedNumericalFunction, DtoAggregatedCategoricalFunction, DtoKernelModelFunction, DtoTreeModelFunction
Discriminator: _type

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.

Wraps a signal into a function.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: Signal

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
signal	DtoSignalId	-	The ID of the signal to be used as function.

Lags the values of the source function by some fixed delay.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: Lag

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
source	DtoFunctionId	-	ID of the function whose values are lagged.
lag	DtoNonNegativeDuration	-	The delay. The value of the resulting function at time "t" is given by "source(t - lag)".

An LtiFilterFunction is the convolution of a moving time window of the input with some fixed function. Numeric input and output.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: LtiFilter

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
source	DtoFunctionId	-	FunctionId of the only input function.
parameters	DtoFloat[]	-	Parameters of the lti-filter function. The value of the resulting function at time t is given by "sum_i source(t - mesh * (parameters.size - i -1)) * parameters[i]".
mesh	DtoPositiveDuration	-	Time resolution of the source used in this function.

A CategoricalEqualsFunction applied to a categorical function yields a 0/1-function for one of the function's categories. Numeric, string or boolean input and numeric output.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: CategoryEquals

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
category	DtoFunctionId	-	FunctionId of the only input function.
testValue	DtoAbstractCategory	-	The category (=value) of the categorical source for which this 0/1-function is created. The function is 1 when the source evaluates to this value. Otherwise, the function evaluates to 0.
catCount	DtoPositiveInteger	optional	The number of unique categories within the source signal.

A DtoFourierTransformFunction performs a Fourier transform on the input. Numeric input and complex vector output.

@experimental: Might change in future releases.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: FourierTransform

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
argument	DtoFunctionId	-	FunctionId of the only input function.
windowLength	DtoPositiveDuration	-	At time "t", frequency spectra are calculated for the time window from after "t - windowLength" to "t" using a step size given by mesh.
mesh	DtoPositiveDuration	-	Time resolution of the source used in creation of this function. Mesh must not be bigger than window_length.

A DtoPowerSpectrumFunction returns the logarithm of the power in some frequency band. Complex vector input and numeric output.

@experimental: Might change in future releases.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: PowerSpectrum

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
spectrum	DtoFunctionId	-	FunctionId of the only input function.
minFrequency	DtoNonNegativeInteger	-	The lowest frequency included in the frequency band. Frequencies are enumerated by successive integers starting with 0. Frequency k means a period of windowLength/k; (frequency 0 means mean over windowLenght); windowLength is given in the underlying DtoFourierTransformFunction.
maxFrequency	DtoNonNegativeInteger	-	Exclusive upper bound of the frequency band. Frequencies are enumerated by successive integers starting with 0. Frequency k means a period of windowLength/k; (frequency 0 means mean over windowLenght); windowLength is given in the underlying DtoFourierTransformFunction.

A DtoPhaseSpectrumFunction represents a phase of a complex frequency spectrum. Complex vector input and numeric output (cycle 2 pi).

@experimental: Might change in future releases.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: PhaseSpectrum

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
spectrum	DtoFunctionId	-	FunctionId of the only input function.
frequency	DtoNonNegativeInteger	-	The frequency to which the phase belongs. Frequencies are enumerated by successive integers starting with 0. Frequency k means a period of windowLength/k; (frequency 0 means mean over windowLenght); windowLength is given in the underlying DtoFourierTransformFunction.

The sin function. Numeric input and output.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: Sin

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
argument	DtoFunctionId	-	FunctionId of the only input function.

The cos function. Numeric input and output.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: Cos

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
argument	DtoFunctionId	-	FunctionId of the only input function.

Returns the input multiplied by the factor. Numeric input and output.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: Scale

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
argument	DtoFunctionId	-	FunctionId of the only input function.
factor	DtoFloat	-	-

A DtoPrincipalDirectionFunction is a linear combination of other functions. Numeric input and output.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: PrincipalDirection

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
coefficients	DtoFeatureValue[]	-	The weights of the functions in the linear combination that form this function.

The logistic function. Numeric input and output.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: Logistic

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
argument	DtoFunctionId	-	FunctionId of the only input function.

The rectified linear unit. Numeric input and output.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: Relu

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
argument	DtoFunctionId	-	FunctionId of the only input function.

Identity function. Numeric input and output.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: Identity

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
argument	DtoFunctionId	-	FunctionId of the only input function.

A mollifier function. Numeric input and output.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: Mollifier

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
argument	DtoFunctionId	-	FunctionId of the only input function.

Assigns each input value a result based on a dictionary. DtoFunctionId input and float or string or boolean output.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: IdCategoryMap

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
argument	DtoFunctionId	-	FunctionId of the only input function (whose return type is DtoFunctionId).
entries	DtoIdCategoryEntry[]	-	The key-value-pairs of this dictionary (all entries should have the same value type)

Assigns each input value a result based on a dictionary and its probability.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: IdCategoryProbaMap

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
sources	DtoFunctionId[]	-	FunctionIds of the only input functions.
entries	DtoIdCategoryEntry[]	-	The key-value-pairs of this dictionary (all entries should have the same value type)

Type: Object

Property	Type	Markers	Description
id	DtoFunctionId	-	The key.
category	DtoAbstractCategory	-	The category the key is mapped to.

Sum over all input functions. Numeric input and output.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: Sum

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
summands	DtoFunctionId[]	-	The values of these functions are used as input.

Smooth max function. Approximates the maximum of the elements of the vector used as input.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: LogSumExp

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
sources	DtoFunctionId[]	-	The values of these functions are used as input.
scale	DtoFloat	-	Scales the inputs and makes the function sharper around the maximum.
absArgument	Boolean	-	Take the absolute values of the sources

Returns the largest function value among the source functions at a given timestamp. Numeric input and output.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: Max

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
sources	DtoFunctionId[]	-	The values of these functions are used as input.

Returns the id of the function with the largest result. Multiple numeric inputs and DtoFunctionId output.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: ArgMax

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
arguments	DtoFunctionId[]	-	The values of these functions are used as input.

Product over all input functions. Numeric input and output.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: Product

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
factors	DtoFunctionId[]	-	The values of these functions are used as input.

Returns the constant value provided. Numeric input and output.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: Constant

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
argument	DtoFunctionId	-	FunctionId of the only input function.
constant	DtoFloat	-	-

Step function. Returns 0 if argument value is negative else 1. Numeric input and output.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: Step

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
argument	DtoFunctionId	-	FunctionId of the only input function.

Natural logarithm function. Numeric input and output.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: Logarithm

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
argument	DtoFunctionId	-	FunctionId of the only input function.

Exponential function. Numeric input and output.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: Exponential

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
argument	DtoFunctionId	-	FunctionId of the only input function.

Gaussian cummulative distribution function. Numeric input and output.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: GaussCdf

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
argument	DtoFunctionId	-	FunctionId of the only input function.
mean	DtoFloat	-	Mean of Gaussian.
std	DtoFloat	-	Standard deviation of Gaussian.

Aggregating a numerical signal over the time window given by min and max lags. Numeric input and ouput.

@experimental: Might change in future releases.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: AggregatedNumerical

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
source	DtoFunctionId	-	FunctionId of the only input function.
evalType	DtoNumericalFunctionEvalType	-	Evalution type of aggregated numerical function
maxLag	DtoNonNegativeDuration	-	Start of the time window.
minLag	DtoNonNegativeDuration	-	End of the time window.
mesh	DtoPositiveDuration	-	Time resolution of the source used in this function.

Available evalution types.

@experimental: Might change in future releases.

Type: String
Enum: MIN, MAX, RANGE, MEAN, SLOPE

Aggregating a categorical signal over the time window given by min and max lags. The source of the function is DtoCategoryEqualsFunction. Numeric input and ouput.

@experimental: Might change in future releases.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: AggregatedCategorical

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
source	DtoFunctionId	-	FunctionId of the only input function.
evalType	DtoCategoricalFunctionEvalType	-	Evalution type of aggregated categorical function
maxLag	DtoNonNegativeDuration	-	Start of the time window.
minLag	DtoNonNegativeDuration	-	End of the time window.

Available evalution types. Positive state is a state at which the source function (DtoCategoricalEqualsFunction) returns 1.0, i.e., true.

@experimental: Might change in future releases.

Type: String
Enum: POSITIVE_STATE_WAS_PRESENT, DURATION_OF_POSITIVE_STATES, POSITIVE_STATE_CHANGE_COUNT, DURATION_OF_LAST_POSITIVE_STATE

Specify aggregated features to add.

Type: String
Enum: ALL, MIN, MAX, RANGE, MEAN, SLOPE, POSITIVE_STATE_WAS_PRESENT, DURATION_OF_POSITIVE_STATES, POSITIVE_STATE_CHANGE_COUNT, DURATION_OF_LAST_POSITIVE_STATE

A KernelModel is a kernel regressor fine-tuned with the training data. Numeric input and output.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: KernelModel

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	ID of the function.
kernelType	DtoKernelType	-	Engine internal.
category	DtoAbstractCategory	-	Engine internal.
scaleFactors	DtoFeatureValue[]	-	Engine internal.
components	DtoKernelModelComponent[]	-	Engine internal.
noise	DtoFloat	-	Engine internal.

Engine internal.

Type: String
Enum: LAPLACE, GAUSSIAN, QUADRATIC, LINEAR, MATERN

Engine internal.

Type: Object

Property	Type	Markers	Description
controlPoint	DtoFeatureValue[]	-	Engine internal.
coefficient	DtoFloat	-	Engine internal.
id	DtoControlPointId	optional	Engine internal.
isSobolPoint	Boolean	optional	Engine internal.

Value

Feature value with featureId and its value.

Type: Object

Property	Type	Markers	Description
feature	DtoFunctionId	-	Engine internal.
value	DtoFloat	-	Engine internal.

DtoFeature

Type: Object

Property	Type	Markers	Description
feature	DtoFeatureId	-	-
mean	DtoFloat	-	Mean of the feature values computed based on inducing points.
std	DtoFloat	-	Standard deviation of the feature values computed based on inducing points.
min	DtoFloat	optional	Min of the feature values computed based on inducing points.
max	DtoFloat	optional	Max of the feature values computed based on inducing points.

A TreeModel is a tree regressor fine-tuned with the training data. Numeric input and output.

Type: Object
Super-Types: DtoAbstractFunction
Discriminator: _type
Discriminator-Value: TreeModel

Property	Type	Markers	Description
_type	String	-	Type of this object.
id	DtoFunctionId	-	Engine internal.
sources	DtoFunctionId[]	-	Engine internal.
tree	DtoTreeNode[]	-	Engine internal.
root	DtoTreeNodeId	-	Engine internal.

Engine internal.

Type: Object

Property	Type	Markers	Description
id	DtoTreeNodeId	-	Engine internal.
parent	DtoTreeNodeId	optional	Engine internal,
children	DtoTreeNodeId[]	-	Engine internal.
predicate	DtoPredicate	optional	Engine internal.
labelMean	DtoFloat	-	Engine internal.
count	DtoNonNegativeInteger	-	Engine internal.
labelMeanInRoot	DtoFloat	-	Engine internal.
rating	DtoFloat	-	Engine internal.
pvalue	DtoNonNegativeFloat	optional	Engine internal.

Engine internal.

Type: Object

Property	Type	Markers	Description
sourceFunction	DtoFunctionId	-	Engine internal.
min	DtoFloat	optional	Engine internal.
max	DtoFloat	optional	Engine internal.

Identifying information on the engine.

Type: Object

Property	Type	Markers	Description
name	String	-	Name of the engine.
version	String	-	Engine version.

Base error type, generated by the engine.

@abstract

Type: Object
Sub-Types: DtoTargetSignalNotFoundError, DtoTargetSignalLowQualityError, DtoTargetSignalDataTypeUnexpectedError, DtoTargetSignalTooManyCategoriesError, DtoSignalNotFoundError, DtoSignalDataTypeUnexpectedError, DtoSignalInterpreterAmbiguousError, DtoOscillatorySignalInterpretationFailure, DtoColumnNotFoundError, DtoColumnDataTypeUnexpectedError, DtoColumnInterpreterAmbiguousError, DtoWeightColumnNegativeValueError, DtoSignalIdAlreadyInUseError, DtoColumnIdAlreadyInUseError, DtoSegmentNotFoundError, DtoInferenceOutputTypeUnexpectedError, DtoInferenceDataTypeUnexpectedError, DtoInferenceDataPredecessorMissingError, DtoInferenceOutputTargetInterpreterTypeUnexpectedError, DtoDataConcurrentModificationError, DtoDataQuantityInsufficientError, DtoDataQualityInsufficientError, DtoHandleDanglingError, DtoHandleTypeUnexpectedError, DtoPointerForeignError, DtoPointerTypeUnexpectedError, DtoStringEncodingInvalidError, DtoExpressionSyntaxFailureError, DtoExpressionRuntimeFailureError, DtoExpressionResultDataTypeUnexpectedError, DtoLicenseServerCommunicationFailureError, DtoLicenseApiKeyNotFoundError, DtoLicenseInsufficientError, DtoIncrementalLearningModelCorruptedError, DtoIncrementalLearningDataQualityInsufficientError, DtoSignalConstraintInterpreterUnexpectedError, DtoModelConstraintNotFoundError, DtoConstraintNavigatorHubModelUnsuitedError, DtoMissingConstraintsError, DtoJsonParseFailureError, DtoJsonValidationFailureError, DtoInferenceRawSignalSpecificationDataTypeAmbiguousError, DtoOperativeSignalMissingTrueValuesError, DtoInternalEngineFailureError, DtoArgumentValidationError
Discriminator: _type

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Named parameters used in error messages.

Type: Object

Property	Type	Markers	Description
key	String	-	-
value	Any	-	-

Failed to find target signal with ID {id}

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: TargetSignalNotFound

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Signal with ID {id} cannot be used as target due to its low information quality. Error: {error}

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: TargetSignalLowQuality

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Target signal with ID {id} is expected to be any data type of {expected} but was of data type {actual}

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: TargetSignalDataTypeUnexpected

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Target signal with ID {id} of data type Float contains too many unique values: {numb_of_cats}. Categorical interpreter with target of data type Float allows maximally 42 unique values. If you want to use target nevertheless ingest with data type String.

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: TargetSignalTooManyCategories

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Failed to find signal with ID {id}

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: SignalNotFound

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Signal with ID {id} is expected to be any data type of {expected} but was of data type {actual}

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: SignalDataTypeUnexpected

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Signal with ID {id} has ambiguous interpreters

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: SignalInterpreterAmbiguous

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Unable to resolve oscillatory interpretation of signal {id} at time t {timestamp} due to too sparse data

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: OscillatorySignalInterpretationFailure

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Failed to find column with ID {id}

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: ColumnNotFound

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Column with ID {id} is expected to be any data type of {expected} but was of data type {actual}

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: ColumnDataTypeUnexpected

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Column with ID {id} has ambiguous interpreters

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: ColumnInterpreterAmbiguous

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Weight column with ID {id} has negative value in row with ID {row_id}. All weights must be >=0.

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: WeightColumnNegative

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Signal ID {id} is already in use

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: SignalIdAlreadyInUse

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Column ID {id} is already in use

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: ColumnIdAlreadyInUse

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Failed to find segment with ID {id}

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: SegmentNotFound

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Inference output specification is expected to be of data type {expected} but was of data type {actual}

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: InferenceOutputTypeUnexpected

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Inference data specification for signal with ID {id} is expected to be of data type {expected} but was of data type {actual}

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: InferenceDataTypeUnexpected

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Inference data is expected to include information on signal {id} at or before timestamp {timestamp}

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: InferenceDataPredecessorMissing

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Inference output specification is expected to be of target interpreter type {expected} but was {actual}

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: InferenceOutputTypeUnexpected

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Failed to modify data with handle '{handle}' due to concurrent usage

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: DataConcurrentModification

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Data with handle '{handle}' does not contain any training signals

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: DataQuantityInsufficient

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Data with handle '{handle}' does not contain any training signals after data removal

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: DataQualityInsufficient

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Failed to dereference handle '{handle}'

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: HandleDangling

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Handle '{handle}' is expected to be of type '{expected}' but was of type '{actual}'

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: HandleTypeUnexpected

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Pointer was not created by this engine instance

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: PointerForeign

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Pointer has unexpected type

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: PointerTypeUnexpected

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Pointer failed to be decoded as string: {error}

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: StringEncodingInvalid

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Failed to compile expression {expression}: {error}

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: ExpressionSyntaxFailure

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Failed to evaluate expression {expression} at timestamp '{timestamp}': {error}

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: ExpressionRuntimeFailure

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Result of expression {expression} is expected to be of data type {expected} but was of type {actual} at timestamp '{timestamp}'

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: ExpressionResultDataTypeUnexpected

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Failed to communicate with license server: {error}

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: LicenseServerCommunicationFailure

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Failed to find license api key

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: LicenseApiKeyNotFound

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

License terms insufficient

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: LicenseInsufficient

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

DtoIncremental data does not match remaining model data: {error}

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: IncrementalLearningModelCorrupted

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Insufficient data quality of signals at label timestamps

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: IncrementalLearningDataQualityInsufficient

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Constraint on signal with not supported interpreter

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: SignalConstraintInterpreterUnexpected

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Model ID {id} not part of the hub model

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: ModelConstraintNotFound

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Model with model ID {id} is not differentiable. Can't be used for constraint inference.

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: ConstraintNavigatorHubModelUnsuited

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Model constraints must be provided in the inference_config in order to call the endpoint infer_float_with_next_normal.

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: MissingConstraints

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Failed to parse json: {error}

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: JsonParseFailure

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Failed to validate json: {error}

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: JsonValidationFailure

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.

Data type of signal {id} is ambiguous in inference data specification

Type: Object
Super-Types: DtoAbstractError
Discriminator: _type
Discriminator-Value: InferenceRawSignalSpecificationDataTypeAmbiguous

Property	Type	Markers	Description
_type	String	-	Type discriminator.
message	String	-	Error message.
details	DtoErrorParam[]	-	List of named parameters used in this error's message.