All Classes and Interfaces
Class
Description
Information on a specific column in the data.
Interprets the column values and splits them into different categories
Base error type, generated by the engine.
Parts of the formula describing the calculation while inference.
Specification for a specific signal needed at the inference.
Information on a specific signal in the data.
Interprets the signal values and derives aspects from them.
In inference, a trigger performs a specific check on a certain signal(s) and generates warnings accordingly.
Base of trigger configurations.
Base signal warning type.
Deprecated.
Experimental: Might change in future releases.
Deprecated.
Experimental: Might change in future releases.
Returns the id of the function with the largest result.
Failed to validate argument: {error}
Category-probability pair with boolean-valued category.
Single cell with row id and boolean value.
Single data point with timestamp and boolean value.
Single data point with timestamp, availability and boolean value.
Enhanced data point with timestamp and list of boolean-valued category-probability pairs.
Interprets the different column values as categories, which have no order.
At inference, this trigger generates a warning if the signal stays within any category shorter or longer than the corresponding lower or upper thresholds.
If this configuration is set, CategoricalDurationOutOfRange triggers are created.
The period during which the signal stays within the same category is shorter than the trigger's corresponding lower threshold, or longer than the corresponding upper threshold.
Interprets the different signal values as categories, which have no order.
At the inference, this trigger generates a warning if the signal takes a value that is not in knownValues.
If this configuration is set, CategoricalValueUnknown triggers are created.
The signal value is unknown.
A CategoricalEqualsFunction applied to a categorical function yields a 0/1-function for one of the function's categories.
Handling of a specific column.
Information about the column data.
Column with ID {id} is expected to be any data type of {expected} but was of data type {actual}
Column ID {id} is already in use
Column with ID {id} has ambiguous interpreters
Failed to find column with ID {id}
In column with ID {id} there is ambiguity in the values for rows {row_ids}
Returns the constant value provided.
Model with model ID {id} is not differentiable.
Model constraints must be provided in the inference_config in order to call the endpoint infer_float_with_next_normal.
The cos function.
Interprets the signal as a cyclic variable, based on their residue after division.
Failed to modify data with handle '{handle}' due to concurrent usage
Limits the use of the data based on certain criteria.
Time range of a specific signal.
Data with handle '{handle}' does not contain any training signals after data removal
Data with handle '{handle}' does not contain any training signals
Information about the data.
Interprets float columns via DtoNumericalColumnInterpreter and string and boolean columns via DtoCategoricalColumnInterpreter.
Interprets float signals via DtoNumericalSignalInterpreter and string and boolean signals via DtoCategoricalSignalInterpreter.
At least one of inner_linear_constraint_config or outer_linear_constraint_config should be present
Named parameters used in error messages.
Exponential function.
Dependency information of synthesized signal.
Result of expression {expression} is expected to be of data type {expected} but was of type {actual} at timestamp '{timestamp}'
Failed to evaluate expression {expression} at timestamp '{timestamp}': {error}
Failed to compile expression {expression}: {error}
Limits the use of features based on certain criteria.
Store statistics of the feature, sampled from its recorded timestamps within the operative periods.
Feature value with featureId and its value.
Quadruple with id of feature, observed value of feature, next normal value of feature, rating.
Category-probability pair with float-valued category.
Single cell with row id and floating point value.
Tuple with id of model and evaluation of model.
Enhanced data point with timestamp and list of DtoFloatConstraintValue.
Enhanced data point with timestamp, DtoFloatCostValueWithNextNormal, list of DtoFloatConstraintValueWithNextNormal and list of DtoFeatureValueWithNextNormal.
Triple with id of model, observed value of model, next normal value of model.
Tuple with cost_type and value of the cost function.
Triplet with cost_type, value of the cost function before and after optimization.
Single data point with timestamp and floating point value.
Single data point with timestamp, availability and floating point value.
Enhanced data point with timestamp and list of float-valued category-probability pairs.
Enhanced data point with timestamp, floating point value, list of DtoFeatureValueWithNextNormal.
Deprecated.
Experimental: Might change in future releases.
Gaussian cummulative distribution function.
Failed to dereference handle '{handle}'
Handle '{handle}' is expected to be of type '{expected}' but was of type '{actual}'
Assigns each input value a result based on a dictionary.
Assigns each input value a result based on a dictionary and its probability.
Identity function.
Insufficient data quality of signals at label timestamps
DtoIncremental data does not match remaining model data: {error}
Necessary input configuration for a signal monitor inference.
Inference data is expected to include information on signal {id} at or before timestamp {timestamp}
Timestamp of first data point is too late for the trigger.
Specification for the data needed at the inference.
Inference data specification for signal with ID {id} is expected to be of data type {expected} but was of data type {actual}
Observed unexpected data type.
Inference output specification is expected to be of target interpreter type {expected} but was {actual}
Inference output specification is expected to be of data type {expected} but was of data type {actual}
Specification for a specific signal needed at the inference, whose values were added directly.
Data type of signal {id} is ambiguous in inference data specification
Specification for a specific signal needed at the inference, whose values were calculated by an expression (synthesized).
Time range for the signal monitor inference.
List of DtoInferenceTimeRange.
Internal engine failure: {error}
Interval used to exclude/include data.
Interval used to exclude/include data with an annotation denoting an estimated origin for an incident.
Interval used to exclude/include data with an annotation denoting an estimated origin for an incident.
Failed to parse json: {error}
Failed to validate json: {error}
Engine internal.
A KernelModel is a kernel regressor fine-tuned with the training data.
Lags the values of the source function by some fixed delay.
Failed to find license api key
License terms insufficient
Failed to communicate with license server: {error}
Weighted sum over all input functions plus intercept.
Natural logarithm function.
The logistic function.
Smooth max function.
An LtiFilterFunction is the convolution of a moving time window of the input with some fixed function.
Returns the largest function value among the source functions at a given timestamp.
Output of a signal monitor training.
For model constraint {id} the lower threshold is above the upper threshold at timestamp {timestamp}
Model ID {id} not part of the hub model
Deprecated.
Experimental: Might change in future releases.
Model {id} is expected to be '{expected}' model but it is '{actual} model
A mollifier function.
Interprets the column as being numerical.
This trigger provides a linear model for a signal.
If this configuration is set, NumericalLinearRelationBroken triggers are created.
The signal value deviates from the trigger's linear model by more than the trigger's threshold for all timestamps in [from, to].
Interprets the signal as being numerical.
At inference, this trigger generates a warning if the signal takes a value that is larger than the upperThreshold or lower than the lowerThreshold.
If this configuration is set, NumericalValueOutOfRange triggers are created.
The signal value is above the trigger's upperThreshold for all timestamps in [from, to] or it is below the lowerThreshold for all timestamps in [from, to].
Configures which time periods to be regarded as operative.
Failed to identify operative periods: the operative signal must contain at least one 'true' value.
Returns true if any of the source functions returns true.
Unable to resolve oscillatory interpretation of signal {id} at time t {timestamp} due to too sparse data
Interprets the signal as an oscillatory wave.
Deprecated.
Experimental: Might change in future releases.
Smooth max function.
Pointer was not created by this engine instance
Pointer has unexpected type
Deprecated.
Experimental: Might change in future releases.
Engine internal.
A DtoPrincipalDirectionFunction is a linear combination of other functions.
Identifying information on the engine.
Product over all input functions.
Information on a specific column in the data, whose values were added directly.
Information on a specific signal in the data, whose values were added directly.
The rectified linear unit.
Returns the input multiplied by the factor.
Tuple containing an ID and a float value.
Triple containing an ID, a float value, and a list of DtoFeatureValueWithNextNormal.
Failed to find segment with ID {id}
Single data point consisting in a timestamp and a list of DtoSegmentFloatValue.
Single data point consisting of a timestamp and a list of DtoSegmentFloatValueWithNextNormal.
Handling of a specific signal.
In the constraint for signal/feature {id} the lower threshold is above the upper threshold at timestamp {timestamp}
Constraint on signal with not supported interpreter
The user set thresholds [{min_user}, {max_user}] lie outside of the data range seen in training [{min}, {max}] of signal/feature {id} at timestamp {timestamp}
Signal with ID {id} is expected to be any data type of {expected} but was of data type {actual}
Wraps a signal into a function.
Signal ID {id} is already in use
At inference, this trigger generates a warning if the signal is inactive for a period longer than the threshold.
If this configuration is set, SignalInactive triggers are created.
The signal is inactive longer than threshold in DtoSignalInactiveTrigger.
Signal with ID {id} has ambiguous interpreters
At inference, this trigger generates a warning if the signal is NOT empty.
If this configuration is set, SignalNotEmpty triggers are created for empty signals.
The signal is not empty.
Failed to find signal with ID {id}
Failed to find signal.
Information about one term in the linear model.
The sin function.
Step function.
Category-probability pair with string-valued category.
Single cell with row id and string value.
Single data point with timestamp and string value.
Single data point with timestamp, availability and string value.
Enhanced data point with timestamp and list of string-valued category-probability pairs.
Pointer failed to be decoded as string: {error}
SubModelIncrementalInfo for model {id} cannot be found from IncrementalInfo
Sum over all input functions.
Information on a specific column in the data, with values calculated by an expression (synthesized).
Information on a specific signal in the data, whose values were calculated by an expression (synthesized).
Limits the use of the data based on certain criteria.
Dependency information of synthesized column.
Result of expression {expression} is expected to be of data type {expected} but was of type {actual} at row '{row_id}'
Failed to evaluate expression {expression} at row '{row_id}': {error}
Target signal with ID {id} is expected to be any data type of {expected} but was of data type {actual}
Signal with ID {id} cannot be used as target due to its low information quality.
Failed to find target signal with ID {id}
Target signal with ID {id} of data type Float contains too many unique values: {numb_of_cats}.
Necessary input configuration for a signal monitor training.
A TreeModel is a tree regressor fine-tuned with the training data.
Engine internal.
List of DtoAbstractWarning
Weight column with ID {id} has negative value in row with ID {row_id}.
Engine exceptions are thrown whenever errors within the engine occur.
Interface to handle logging callbacks from the engine.
Interface for handling engine tabular data.
Interface for handling engine timeseries data.
Flavours define different sets of library features.
This annotation defines a list of library flavours being allowed to call the annotated method.
Information on a specific column in the data.
Interprets the column values and splits them into different categories
Base error type, generated by the engine.
Parts of the formula describing the calculation while inference.
Specification for a specific signal needed at the inference.
Information on a specific signal in the data.
Interprets the signal values and derives aspects from them.
In inference, a trigger performs a specific check on a certain signal(s) and generates warnings accordingly.
Base of trigger configurations.
Base signal warning type.
Deprecated.
Experimental: Might change in future releases.
Deprecated.
Experimental: Might change in future releases.
Returns the id of the function with the largest result.
Failed to validate argument: {error}
Category-probability pair with boolean-valued category.
Single cell with row id and boolean value.
Single data point with timestamp and boolean value.
Single data point with timestamp, availability and boolean value.
Enhanced data point with timestamp and list of boolean-valued category-probability pairs.
Interprets the different column values as categories, which have no order.
At inference, this trigger generates a warning if the signal stays within any category shorter or longer than the corresponding lower or upper thresholds.
If this configuration is set, CategoricalDurationOutOfRange triggers are created.
The period during which the signal stays within the same category is shorter than the trigger's corresponding lower threshold, or longer than the corresponding upper threshold.
Interprets the different signal values as categories, which have no order.
At the inference, this trigger generates a warning if the signal takes a value that is not in knownValues.
If this configuration is set, CategoricalValueUnknown triggers are created.
The signal value is unknown.
A CategoricalEqualsFunction applied to a categorical function yields a 0/1-function for one of the function's categories.
Handling of a specific column.
Information about the column data.
Column with ID {id} is expected to be any data type of {expected} but was of data type {actual}
Column ID {id} is already in use
Column with ID {id} has ambiguous interpreters
Failed to find column with ID {id}
In column with ID {id} there is ambiguity in the values for rows {row_ids}
Returns the constant value provided.
Model with model ID {id} is not differentiable.
Model constraints must be provided in the inference_config in order to call the endpoint infer_float_with_next_normal.
The cos function.
Interprets the signal as a cyclic variable, based on their residue after division.
Failed to modify data with handle '{handle}' due to concurrent usage
Limits the use of the data based on certain criteria.
Time range of a specific signal.
Data with handle '{handle}' does not contain any training signals after data removal
Data with handle '{handle}' does not contain any training signals
Information about the data.
Interprets float columns via DtoNumericalColumnInterpreter and string and boolean columns via DtoCategoricalColumnInterpreter.
Interprets float signals via DtoNumericalSignalInterpreter and string and boolean signals via DtoCategoricalSignalInterpreter.
At least one of inner_linear_constraint_config or outer_linear_constraint_config should be present
Named parameters used in error messages.
Exponential function.
Dependency information of synthesized signal.
Result of expression {expression} is expected to be of data type {expected} but was of type {actual} at timestamp '{timestamp}'
Failed to evaluate expression {expression} at timestamp '{timestamp}': {error}
Failed to compile expression {expression}: {error}
Limits the use of features based on certain criteria.
Store statistics of the feature, sampled from its recorded timestamps within the operative periods.
Feature value with featureId and its value.
Quadruple with id of feature, observed value of feature, next normal value of feature, rating.
Category-probability pair with float-valued category.
Single cell with row id and floating point value.
Tuple with id of model and evaluation of model.
Enhanced data point with timestamp and list of DtoFloatConstraintValue.
Enhanced data point with timestamp, DtoFloatCostValueWithNextNormal, list of DtoFloatConstraintValueWithNextNormal and list of DtoFeatureValueWithNextNormal.
Triple with id of model, observed value of model, next normal value of model.
Tuple with cost_type and value of the cost function.
Triplet with cost_type, value of the cost function before and after optimization.
Single data point with timestamp and floating point value.
Single data point with timestamp, availability and floating point value.
Enhanced data point with timestamp and list of float-valued category-probability pairs.
Enhanced data point with timestamp, floating point value, list of DtoFeatureValueWithNextNormal.
Deprecated.
Experimental: Might change in future releases.
Gaussian cummulative distribution function.
Failed to dereference handle '{handle}'
Handle '{handle}' is expected to be of type '{expected}' but was of type '{actual}'
Assigns each input value a result based on a dictionary.
Assigns each input value a result based on a dictionary and its probability.
Identity function.
Insufficient data quality of signals at label timestamps
DtoIncremental data does not match remaining model data: {error}
Necessary input configuration for a signal monitor inference.
Inference data is expected to include information on signal {id} at or before timestamp {timestamp}
Timestamp of first data point is too late for the trigger.
Specification for the data needed at the inference.
Inference data specification for signal with ID {id} is expected to be of data type {expected} but was of data type {actual}
Observed unexpected data type.
Inference output specification is expected to be of target interpreter type {expected} but was {actual}
Inference output specification is expected to be of data type {expected} but was of data type {actual}
Specification for a specific signal needed at the inference, whose values were added directly.
Data type of signal {id} is ambiguous in inference data specification
Specification for a specific signal needed at the inference, whose values were calculated by an expression (synthesized).
Time range for the signal monitor inference.
List of DtoInferenceTimeRange.
Internal engine failure: {error}
Interval used to exclude/include data.
Interval used to exclude/include data with an annotation denoting an estimated origin for an incident.
Interval used to exclude/include data with an annotation denoting an estimated origin for an incident.
Failed to parse json: {error}
Failed to validate json: {error}
Engine internal.
A KernelModel is a kernel regressor fine-tuned with the training data.
Lags the values of the source function by some fixed delay.
Failed to find license api key
License terms insufficient
Failed to communicate with license server: {error}
Weighted sum over all input functions plus intercept.
Natural logarithm function.
The logistic function.
Smooth max function.
An LtiFilterFunction is the convolution of a moving time window of the input with some fixed function.
Returns the largest function value among the source functions at a given timestamp.
Output of a signal monitor training.
For model constraint {id} the lower threshold is above the upper threshold at timestamp {timestamp}
Model ID {id} not part of the hub model
Deprecated.
Experimental: Might change in future releases.
Model {id} is expected to be '{expected}' model but it is '{actual} model
A mollifier function.
Interprets the column as being numerical.
This trigger provides a linear model for a signal.
If this configuration is set, NumericalLinearRelationBroken triggers are created.
The signal value deviates from the trigger's linear model by more than the trigger's threshold for all timestamps in [from, to].
Interprets the signal as being numerical.
At inference, this trigger generates a warning if the signal takes a value that is larger than the upperThreshold or lower than the lowerThreshold.
If this configuration is set, NumericalValueOutOfRange triggers are created.
The signal value is above the trigger's upperThreshold for all timestamps in [from, to] or it is below the lowerThreshold for all timestamps in [from, to].
Configures which time periods to be regarded as operative.
Failed to identify operative periods: the operative signal must contain at least one 'true' value.
Returns true if any of the source functions returns true.
Unable to resolve oscillatory interpretation of signal {id} at time t {timestamp} due to too sparse data
Interprets the signal as an oscillatory wave.
Deprecated.
Experimental: Might change in future releases.
Smooth max function.
Pointer was not created by this engine instance
Pointer has unexpected type
Deprecated.
Experimental: Might change in future releases.
Engine internal.
A DtoPrincipalDirectionFunction is a linear combination of other functions.
Identifying information on the engine.
Product over all input functions.
Information on a specific column in the data, whose values were added directly.
Information on a specific signal in the data, whose values were added directly.
The rectified linear unit.
Returns the input multiplied by the factor.
Tuple containing an ID and a float value.
Triple containing an ID, a float value, and a list of DtoFeatureValueWithNextNormal.
Failed to find segment with ID {id}
Single data point consisting in a timestamp and a list of DtoSegmentFloatValue.
Single data point consisting of a timestamp and a list of DtoSegmentFloatValueWithNextNormal.
Handling of a specific signal.
In the constraint for signal/feature {id} the lower threshold is above the upper threshold at timestamp {timestamp}
Constraint on signal with not supported interpreter
The user set thresholds [{min_user}, {max_user}] lie outside of the data range seen in training [{min}, {max}] of signal/feature {id} at timestamp {timestamp}
Signal with ID {id} is expected to be any data type of {expected} but was of data type {actual}
Wraps a signal into a function.
Signal ID {id} is already in use
At inference, this trigger generates a warning if the signal is inactive for a period longer than the threshold.
If this configuration is set, SignalInactive triggers are created.
The signal is inactive longer than threshold in DtoSignalInactiveTrigger.
Signal with ID {id} has ambiguous interpreters
At inference, this trigger generates a warning if the signal is NOT empty.
If this configuration is set, SignalNotEmpty triggers are created for empty signals.
The signal is not empty.
Failed to find signal with ID {id}
Failed to find signal.
Information about one term in the linear model.
The sin function.
Step function.
Category-probability pair with string-valued category.
Single cell with row id and string value.
Single data point with timestamp and string value.
Single data point with timestamp, availability and string value.
Enhanced data point with timestamp and list of string-valued category-probability pairs.
Pointer failed to be decoded as string: {error}
SubModelIncrementalInfo for model {id} cannot be found from IncrementalInfo
Sum over all input functions.
Information on a specific column in the data, with values calculated by an expression (synthesized).
Information on a specific signal in the data, whose values were calculated by an expression (synthesized).
Limits the use of the data based on certain criteria.
Dependency information of synthesized column.
Result of expression {expression} is expected to be of data type {expected} but was of type {actual} at row '{row_id}'
Failed to evaluate expression {expression} at row '{row_id}': {error}
Target signal with ID {id} is expected to be any data type of {expected} but was of data type {actual}
Signal with ID {id} cannot be used as target due to its low information quality.
Failed to find target signal with ID {id}
Target signal with ID {id} of data type Float contains too many unique values: {numb_of_cats}.
Necessary input configuration for a signal monitor training.
A TreeModel is a tree regressor fine-tuned with the training data.
Engine internal.
List of DtoAbstractWarning
Weight column with ID {id} has negative value in row with ID {row_id}.
Super class for all library exceptions thrown by the engine.
Missing library exceptions are thrown when a library file for this platform cannot be found.
Class for creating and handling signal monitor timeseries data.
Class for creating and handling signal monitor inference.
Class for creating and handling signal monitor setup.
Class for creating and handling signal monitor training.
Wrong flavour exceptions are thrown whenever an engine function is called that is not supported
by the current library flavour.