C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1

Classes | Enumerations
Handling Errors

Contains classes and methods to handle exceptions or errors that can occur during library operation. More...

Classes

struct  Exception
 Class that represents an exception. More...
 
class  ErrorDetail
 Base for error detail classes. More...
 

Enumerations

enum  ErrorDetailID {
  NoErrorMessageDetailFound = 0, Row = 1, Column = 2, Rank = 3,
  StatisticsName = 4, Method = 5, Iteration = 6, Component = 7,
  Minor = 8, ArgumentName = 9, ElementInCollection = 10, Dimension = 11,
  ParameterName = 12, OptionalInput = 13, OptionalResult = 14, Layer = 15,
  SerializationTag = 16, ExpectedValue = 17, ActualValue = 18
}
 
enum  ErrorID {
  ErrorMethodNotSupported = -1, ErrorIncorrectNumberOfFeatures = -3, ErrorIncorrectNumberOfObservations = -4, ErrorIncorrectSizeOfArray = -7,
  ErrorNullParameterNotSupported = -8, ErrorIncorrectNumberOfArguments = -9, ErrorIncorrectInputNumericTable = -10, ErrorEmptyInputNumericTable = -11,
  ErrorIncorrectDataRange = -12, ErrorPrecomputedStatisticsIndexOutOfRange = -13, ErrorIncorrectNumberOfInputNumericTables = -14, ErrorIncorrectNumberOfOutputNumericTables = -15,
  ErrorNullInputNumericTable = -16, ErrorNullOutputNumericTable = -17, ErrorNullModel = -18, ErrorInconsistentNumberOfRows = -19,
  ErrorIncorrectSizeOfInputNumericTable = -20, ErrorIncorrectSizeOfOutputNumericTable = -21, ErrorIncorrectNumberOfRowsInInputNumericTable = -24, ErrorIncorrectNumberOfColumnsInInputNumericTable = -25,
  ErrorIncorrectNumberOfRowsInOutputNumericTable = -26, ErrorIncorrectNumberOfColumnsInOutputNumericTable = -27, ErrorIncorrectTypeOfInputNumericTable = -28, ErrorIncorrectTypeOfOutputNumericTable = -29,
  ErrorIncorrectNumberOfElementsInInputCollection = -30, ErrorIncorrectNumberOfElementsInResultCollection = -31, ErrorNullInput = -32, ErrorNullResult = -33,
  ErrorIncorrectParameter = -34, ErrorModelNotFullInitialized = -35, ErrorInconsistentNumberOfColumns = -36, ErrorIncorrectIndex = -37,
  ErrorDataArchiveInternal = -38, ErrorNullPartialModel = -39, ErrorNullInputDataCollection = -40, ErrorNullOutputDataCollection = -41,
  ErrorNullPartialResult = -42, ErrorIncorrectNumberOfInputNumericTensors = -43, ErrorIncorrectNumberOfOutputNumericTensors = -44, ErrorNullTensor = -45,
  ErrorIncorrectNumberOfDimensionsInTensor = -46, ErrorIncorrectSizeOfDimensionInTensor = -47, ErrorNullLayerData = -48, ErrorIncorrectSizeOfLayerData = -49,
  ErrorNullNumericTable = -50, ErrorIncorrectNumberOfColumns = -51, ErrorIncorrectNumberOfRows = -52, ErrorIncorrectTypeOfNumericTable = -53,
  ErrorUnsupportedCSRIndexing = -54, ErrorSignificanceLevel = -55, ErrorAccuracyThreshold = -56, ErrorIncorrectNumberOfBetas = -57,
  ErrorIncorrectNumberOfBetasInReducedModel = -58, ErrorNumericTableIsNotSquare = -59, ErrorNullAuxiliaryAlgorithm = -60, ErrorNullInitializationProcedure = -61,
  ErrorNullAuxiliaryDataCollection = -62, ErrorEmptyAuxiliaryDataCollection = -63, ErrorIncorrectElementInCollection = -64, ErrorNullPartialResultDataCollection = -65,
  ErrorIncorrectElementInPartialResultCollection = -66, ErrorIncorrectElementInNumericTableCollection = -67, ErrorNullOptionalResult = -68, ErrorIncorrectOptionalResult = -69,
  ErrorIncorrectOptionalInput = -70, ErrorIncorrectNumberOfPartialClusters = -71, ErrorIncorrectTotalNumberOfPartialClusters = -72, ErrorIncorrectDataCollectionSize = -73,
  ErrorIncorrectValueInTheNumericTable = -74, ErrorIncorrectItemInDataCollection = -75, ErrorNullPtr = -76, ErrorUndefinedFeature = -77,
  ErrorCloneMethodFailed = -78, ErrorDataTypeNotSupported = -79, ErrorBufferSizeIntegerOverflow = -80, ErrorCpuIsInvalid = -1,
  ErrorCpuNotSupported = -2000, ErrorMemoryAllocationFailed = -2001, ErrorEmptyDataBlock = -2004, ErrorMemoryCopyFailedInternal = -2005,
  ErrorIncorrectCombinationOfComputationModeAndStep = -3002, ErrorDictionaryAlreadyAvailable = -3003, ErrorDictionaryNotAvailable = -3004, ErrorNumericTableNotAvailable = -3005,
  ErrorNumericTableAlreadyAllocated = -3006, ErrorNumericTableNotAllocated = -3007, ErrorPrecomputedSumNotAvailable = -3008, ErrorPrecomputedMinNotAvailable = -3009,
  ErrorPrecomputedMaxNotAvailable = -3010, ErrorServiceMicroTableInternal = -3011, ErrorEmptyCSRNumericTable = -3012, ErrorEmptyHomogenNumericTable = -3013,
  ErrorSourceDataNotAvailable = -3014, ErrorEmptyDataSource = -3015, ErrorIncorrectClassLabels = -3016, ErrorIncorrectSizeOfModel = -3017,
  ErrorIncorrectTypeOfModel = -3018, ErrorIncorrectErrorcodeFromGenerator = -3019, ErrorLeapfrogUnsupported = -3020, ErrorSkipAheadUnsupported = -3021,
  ErrorFeatureNamesNotAvailable = -3022 , ErrorInputSigmaMatrixHasNonPositiveMinor = -4001, ErrorInputSigmaMatrixHasIllegalValue = -4002, ErrorIncorrectInternalFunctionParameter = -4003,
  ErrorUserCancelled = -4004, ErrorAprioriIncorrectItemsetTableSize = -5000, ErrorAprioriIncorrectSupportTableSize = -5001, ErrorAprioriIncorrectLeftRuleTableSize = -5002,
  ErrorAprioriIncorrectRightRuleTableSize = -5003, ErrorAprioriIncorrectConfidenceTableSize = -5004, ErrorAprioriIncorrectInputData = -5005, ErrorInconsistentNumberOfClasses = -5200,
  ErrorCholeskyInternal = -5400, ErrorInputMatrixHasNonPositiveMinor = -5401, ErrorCovarianceInternal = -5600, ErrorEMMatrixInverse = -6001,
  ErrorEMIncorrectToleranceToConverge = -6002, ErrorEMIllConditionedCovarianceMatrix = -6003, ErrorEMIncorrectMaxNumberOfIterations = -6004, ErrorEMNegativeDefinedCovarianceMartix = -6005,
  ErrorEMEmptyComponent = -6006, ErrorEMCovariance = -6007, ErrorEMIncorrectNumberOfComponents = -6008, ErrorEMInitNoTrialConverges = -6100,
  ErrorEMInitIncorrectToleranceToConverge = -6101, ErrorEMInitIncorrectDepthNumberIterations = -6102, ErrorEMInitIncorrectNumberOfTrials = -6103, ErrorEMInitIncorrectNumberOfComponents = -6104,
  ErrorEMInitInconsistentNumberOfComponents = -6105, ErrorVarianceComputation = -6106, ErrorKMeansNumberOfClustersIsTooLarge = -6400, ErrorLinearRegressionInternal = -6600,
  ErrorNormEqSystemSolutionFailed = -6601, ErrorLinRegXtXInvFailed = -6602, ErrorLowOrderMomentsInternal = -7000, ErrorIncorrectNumberOfClasses = -7200,
  ErrorMultiClassNullTwoClassTraining = -7201, ErrorMultiClassFailedToTrainTwoClassClassifier = -7202, ErrorMultiClassFailedToComputeTwoClassPrediction = -7203, ErrorEmptyInputCollection = -7400,
  ErrorNaiveBayesIncorrectModel = -7401, ErrorOutlierDetectionInternal = -7600, ErrorPCAFailedToComputeCorrelationEigenvalues = -7800, ErrorPCACorrelationInputDataTypeSupportsOfflineModeOnly = -7801,
  ErrorIncorrectCrossProductTableSize = -7802, ErrorCrossProductTableIsNotSquare = -7803, ErrorInputCorrelationNotSupportedInOnlineAndDistributed = -7804, ErrorIncorrectNComponents = -7805,
  ErrorQRInternal = -8000, ErrorQrIthParamIllegalValue = -8001, ErrorQrXBDSQRDidNotConverge = -8002, ErrorStumpIncorrectSplitFeature = -8200,
  ErrorStumpInvalidInputCategoricalData = -8201, ErrorSvdIthParamIllegalValue = -8300, ErrorSvdXBDSQRDidNotConverge = -8301, ErrorLCNinnerConvolution = -8400,
  ErrorSVMPredictKernerFunctionCall = -8601, ErrorIncorrectWeakLearnerClassificationAlgorithm = -8800, ErrorIncorrectWeakLearnerRegressionAlgorithm = -8801, ErrorIncorrectWeakLearnerClassificationModel = -8802,
  ErrorIncorrectWeakLearnerRegressionModel = -8803, ErrorCompressionNullInputStream = -9000, ErrorCompressionNullOutputStream = -9001, ErrorCompressionEmptyInputStream = -9002,
  ErrorCompressionEmptyOutputStream = -9003, ErrorZlibInternal = -9004, ErrorZlibDataFormat = -9005, ErrorZlibParameters = -9006,
  ErrorZlibMemoryAllocationFailed = -9007, ErrorZlibNeedDictionary = -9008, ErrorBzip2Internal = -9009, ErrorBzip2DataFormat = -9010,
  ErrorBzip2Parameters = -9011, ErrorBzip2MemoryAllocationFailed = -9012, ErrorLzoInternal = -9013, ErrorLzoOutputStreamSizeIsNotEnough = -9014,
  ErrorLzoDataFormat = -9015, ErrorLzoDataFormatLessThenHeader = -9016, ErrorLzoDataFormatNotFullBlock = -9017, ErrorRleInternal = -9018,
  ErrorRleOutputStreamSizeIsNotEnough = -9019, ErrorRleDataFormat = -9020, ErrorRleDataFormatLessThenHeader = -9021, ErrorRleDataFormatNotFullBlock = -9022,
  ErrorLowerBoundGreaterThanOrEqualToUpperBound = -9400, ErrorQuantileOrderValueIsInvalid = -10001, ErrorQuantilesInternal = -10002, ErrorALSInternal = -11000,
  ErrorALSInconsistentSparseDataBlocks = -11001, ErrorSorting = -12001, ErrorNegativeLearningRate = -13000, ErrorMeanAndStandardDeviationComputing = -14000,
  ErrorNullVariance = -14001, ErrorMinAndMaxComputing = -14002, ErrorZeroNumberOfTerms = -15000, ErrorConvolutionInternal = -16000,
  ErrorIncorrectKernelSise1 = -16001, ErrorIncorrectKernelSise2 = -16002, ErrorRidgeRegressionInternal = -17000, ErrorRidgeRegressionNormEqSystemSolutionFailed = -17001,
  ErrorRidgeRegressionInvertFailed = -17002, ErrorInconsistenceModelAndBatchSizeInParameter = -18000, ErrorNeuralNetworkLayerCall = -18001, ErrorSplitLayerBackward = -18002,
  ErrorPivotedQRInternal = -19000, ErrorDFBootstrapVarImportanceIncompatible = -20000, ErrorDFBootstrapOOBIncompatible = -20001, ErrorGbtIncorrectNumberOfTrees = -30000,
  ErrorGbtPredictIncorrectNumberOfIterations = -30001, ErrorUserAllocatedMemory = -80001, ErrorDataSourseNotAvailable = -90041, ErrorHandlesSQL = -90042,
  ErrorODBC = -90043, ErrorSQLstmtHandle = -90044, ErrorOnFileOpen = -90045, ErrorOnFileRead = -90046,
  ErrorNullByteInjection = -90047, ErrorKDBNoConnection = -90051, ErrorKDBWrongCredentials = -90052, ErrorKDBNetworkError = -90053,
  ErrorKDBServerError = -90054, ErrorKDBTypeUnsupported = -90055, ErrorKDBWrongTypeOfOutput = -90056, ErrorIncorrectEngineParameter = -90100,
  ErrorEmptyInputAlgorithmsCollection = -90201, ErrorObjectDoesNotSupportSerialization = -100000, ErrorCouldntAttachCurrentThreadToJavaVM = -110001, ErrorCouldntCreateGlobalReferenceToJavaObject = -110002,
  ErrorCouldntFindJavaMethod = -110003, ErrorCouldntFindClassForJavaObject = -110004, ErrorCouldntDetachCurrentThreadFromJavaVM = -110005, UnknownError = -1000000,
  NoErrorMessageFound = -1000001, ErrorMethodNotImplemented = -1000002, ErrorIncorrectOffset = -1000003, ErrorIterativeSolverIncorrectMaxNumberOfIterations = -1000004,
  ErrorIncorrectNumberOfTerms = -1000005, ErrorIncorrectNumberOfNodes = -1000006
}
 

Enumeration Type Documentation

enum ErrorDetailID

Available error detail ID to represent additional information in error description

Enumerator
NoErrorMessageDetailFound 

No error message detail found

Row 

Detail about row

Column 

Detail about column

Rank 

Detail about rank

StatisticsName 

Detail about statistics name function

Method 

Detail about method

Iteration 

Detail about iteration number

Component 

Detail about component number

Minor 

Detail about order of matrix minor

ArgumentName 

Detail about argument name

ElementInCollection 

Detail about element in collection

Dimension 

Detail about tensor dimension

ParameterName 

Detail about parameter name

OptionalInput 

Detail about optional input name

OptionalResult 

Detail about optional result name

Layer 

Detail about neural network layer

SerializationTag 

Detail about serialization tag

ExpectedValue 

Detail about expected value

ActualValue 

Detail about actual value

enum ErrorID

Execution statuses

Enumerator
ErrorMethodNotSupported 

Method not supported by the algorithm

ErrorIncorrectNumberOfFeatures 

Number of columns in numeric table is incorrect

ErrorIncorrectNumberOfObservations 

Number of rows in numeric table is incorrect

ErrorIncorrectSizeOfArray 

Incorrect size of array

ErrorNullParameterNotSupported 

Null parameter is not supported by the algorithm

ErrorIncorrectNumberOfArguments 

Number of arguments is incorrect

ErrorIncorrectInputNumericTable 

Input numeric table is incorrect

ErrorEmptyInputNumericTable 

Input numeric table is empty

ErrorIncorrectDataRange 

Data range is incorrect

ErrorPrecomputedStatisticsIndexOutOfRange 

Precomputed statistics index is out of range

ErrorIncorrectNumberOfInputNumericTables 

Incorrect number of input numeric tables

ErrorIncorrectNumberOfOutputNumericTables 

Incorrect number of output numeric tables

ErrorNullInputNumericTable 

Null input numeric table is not supported

ErrorNullOutputNumericTable 

Null output numeric table is not supported

ErrorNullModel 

Null model is not supported

ErrorInconsistentNumberOfRows 

Number of rows in provided numeric tables is inconsistent

ErrorIncorrectSizeOfInputNumericTable 

Number of columns or rows in input numeric table is incorrect

ErrorIncorrectSizeOfOutputNumericTable 

Number of columns or rows in output numeric table is incorrect

ErrorIncorrectNumberOfRowsInInputNumericTable 

Number of rows in input numeric table is incorrect

ErrorIncorrectNumberOfColumnsInInputNumericTable 

Number of columns in input numeric table is incorrect

ErrorIncorrectNumberOfRowsInOutputNumericTable 

Number of rows in output numeric table is incorrect

ErrorIncorrectNumberOfColumnsInOutputNumericTable 

Number of columns in output numeric table is incorrect

ErrorIncorrectTypeOfInputNumericTable 

Incorrect type of input NumericTable

ErrorIncorrectTypeOfOutputNumericTable 

Incorrect type of output NumericTable

ErrorIncorrectNumberOfElementsInInputCollection 

Incorrect number of elements in input collection

ErrorIncorrectNumberOfElementsInResultCollection 

Incorrect number of elements in result collection

ErrorNullInput 

Input not set

ErrorNullResult 

Result not set

ErrorIncorrectParameter 

Incorrect parameter

ErrorModelNotFullInitialized 

Model is not full initialized

ErrorInconsistentNumberOfColumns 

Inconsistent number of rows in Numeric Table

ErrorIncorrectIndex 

Index in collection is out of range

ErrorDataArchiveInternal 

Incorrect size of data block

ErrorNullPartialModel 

Null partial model is not supported

ErrorNullInputDataCollection 

Null input data collection is not supported

ErrorNullOutputDataCollection 

Null output data collection is not supported

ErrorNullPartialResult 

Partial result not set

ErrorIncorrectNumberOfInputNumericTensors 

Incorrect number of elements in input collection

ErrorIncorrectNumberOfOutputNumericTensors 

Incorrect number of elements in output collection

ErrorNullTensor 

Null tensor is not supported

ErrorIncorrectNumberOfDimensionsInTensor 

Number of dimensions in tensor is incorrect

ErrorIncorrectSizeOfDimensionInTensor 

Size of the dimension in input tensor is incorrect

ErrorNullLayerData 

Null layer data is not supported

ErrorIncorrectSizeOfLayerData 

Incorrect number of elements in layer data collection

ErrorNullNumericTable 

Null numeric table is not supported

ErrorIncorrectNumberOfColumns 

Number of columns in numeric table is incorrect

ErrorIncorrectNumberOfRows 

Number of rows in numeric table is incorrect

ErrorIncorrectTypeOfNumericTable 

Incorrect type of Numeric Table

ErrorUnsupportedCSRIndexing 

CSR Numeric Table has unsupported indexing type

ErrorSignificanceLevel 

Incorrect significance level value

ErrorAccuracyThreshold 

Incorrect accuracy threshold

ErrorIncorrectNumberOfBetas 

Incorrect number of betas in linear regression model

ErrorIncorrectNumberOfBetasInReducedModel 

Incorrect number of betas in reduced linear regression model

ErrorNumericTableIsNotSquare 

Numeric table is not square

ErrorNullAuxiliaryAlgorithm 

Null auxiliary algorithm

ErrorNullInitializationProcedure 

Null initialization procedure

ErrorNullAuxiliaryDataCollection 

Null auxiliary data collection

ErrorEmptyAuxiliaryDataCollection 

Empty auxiliary data collection

ErrorIncorrectElementInCollection 

Incorrect element in collection

ErrorNullPartialResultDataCollection 

Null partial result data collection

ErrorIncorrectElementInPartialResultCollection 

Incorrect element in collection of partial results

ErrorIncorrectElementInNumericTableCollection 

Incorrect element in collection of numeric tables

ErrorNullOptionalResult 

Null optional result

ErrorIncorrectOptionalResult 

Incorrect optional result

ErrorIncorrectOptionalInput 

Incorrect optional input

ErrorIncorrectNumberOfPartialClusters 

Incorrect number of partial clusters

ErrorIncorrectTotalNumberOfPartialClusters 

Incorrect total number of partial clusters

ErrorIncorrectDataCollectionSize 

Incorrect DataCollection size

ErrorIncorrectValueInTheNumericTable 

Incorrect value in the numeric table

ErrorIncorrectItemInDataCollection 

Incorrect item in data collection

ErrorNullPtr 

Null pointer in input arguments

ErrorUndefinedFeature 

Dictionary contains a undefined feature

ErrorCloneMethodFailed 

Cloning of algorithm failed

ErrorDataTypeNotSupported 

Data type not supported

ErrorBufferSizeIntegerOverflow 

Integer oveflow is occured during buffer size calculation

ErrorCpuIsInvalid 

Invalid CPU value used

ErrorCpuNotSupported 

CPU not supported

ErrorMemoryAllocationFailed 

Memory allocation failed

ErrorEmptyDataBlock 

Empty data block

ErrorMemoryCopyFailedInternal 

Memory copy internal error

ErrorIncorrectCombinationOfComputationModeAndStep 

Incorrect combination of computation mode and computation step

ErrorDictionaryAlreadyAvailable 

Data Dictionary is already available

ErrorDictionaryNotAvailable 

Data Dictionary is not available

ErrorNumericTableNotAvailable 

Numeric Table is not available

ErrorNumericTableAlreadyAllocated 

Numeric Table was already allocated

ErrorNumericTableNotAllocated 

Numeric Table is not allocated

ErrorPrecomputedSumNotAvailable 

Precomputed sums are not available

ErrorPrecomputedMinNotAvailable 

Precomputed minimum values are not available

ErrorPrecomputedMaxNotAvailable 

Precomputed maximum values are not available

ErrorServiceMicroTableInternal 

Numeric Table internal error

ErrorEmptyCSRNumericTable 

CSR Numeric Table is empty

ErrorEmptyHomogenNumericTable 

Homogeneous Numeric Table is empty

ErrorSourceDataNotAvailable 

Source data is not available

ErrorEmptyDataSource 

Data source is empty

ErrorIncorrectClassLabels 

Class labels provided to classification algorithm are incorrect

ErrorIncorrectSizeOfModel 

Incorrect size of model

ErrorIncorrectTypeOfModel 

Incorrect type of model

ErrorIncorrectErrorcodeFromGenerator 

Incorrect error code is returned from data generator

ErrorLeapfrogUnsupported 

Leapfrog method is not supported by generator

ErrorSkipAheadUnsupported 

SkipAhead method is not supported by generator

ErrorFeatureNamesNotAvailable 

Feature names are not available for feature modifier

ErrorInputSigmaMatrixHasNonPositiveMinor 

Input sigma matrix has non positive minor

ErrorInputSigmaMatrixHasIllegalValue 

Input sigma matrix has illegal value

ErrorIncorrectInternalFunctionParameter 

Incorrect parameter in internal function call

ErrorUserCancelled 

Computation cancelled at user's request

ErrorAprioriIncorrectItemsetTableSize 

Number of rows in the output table containing 'large' item sets is too small

ErrorAprioriIncorrectSupportTableSize 

Number of rows in the output table containing 'large' item sets support values is too small

ErrorAprioriIncorrectLeftRuleTableSize 

Number of rows in the output table containing left parts of the association rules is too small

ErrorAprioriIncorrectRightRuleTableSize 

Number of rows in the output table containing right parts of the association rules is too small

ErrorAprioriIncorrectConfidenceTableSize 

Number of rows in the output table containing association rules confidence is too small

ErrorAprioriIncorrectInputData 

Incorrect input data

ErrorInconsistentNumberOfClasses 

Inconsistent number of classes between boosting algorithm and weak learner

ErrorCholeskyInternal 

Cholesky internal error

ErrorInputMatrixHasNonPositiveMinor 

Input matrix has non positive minor

ErrorCovarianceInternal 

Covariance internal error

ErrorEMMatrixInverse 

Sigma matrix on M-step cannot be inverted

ErrorEMIncorrectToleranceToConverge 

Incorrect value of tolerance to converge in EM parameter

ErrorEMIllConditionedCovarianceMatrix 

Ill-conditioned covariance matrix

ErrorEMIncorrectMaxNumberOfIterations 

Incorrect maximum number of iterations value in EM parameter

ErrorEMNegativeDefinedCovarianceMartix 

Negative-defined covariance matrix

ErrorEMEmptyComponent 

Empty component during computation

ErrorEMCovariance 

Error during covariance computation for component on M step

ErrorEMIncorrectNumberOfComponents 

Incorrect number of components value in EM parameter

ErrorEMInitNoTrialConverges 

No trial of internal EM start converges

ErrorEMInitIncorrectToleranceToConverge 

Incorrect tolerance to converge value in EM initialization parameter

ErrorEMInitIncorrectDepthNumberIterations 

Incorrect depth number of iterations value in EM init parameter

ErrorEMInitIncorrectNumberOfTrials 

Incorrect number of trials value in EM initialization parameter

ErrorEMInitIncorrectNumberOfComponents 

Incorrect numeber of components value in EM initialization parameter

ErrorEMInitInconsistentNumberOfComponents 

Inconsistent number of component: number of observations should be greater than number of components

ErrorVarianceComputation 

Error during variance computation

ErrorKMeansNumberOfClustersIsTooLarge 

Number of clusters exceeds the number of points

ErrorLinearRegressionInternal 

Linear Regression internal error

ErrorNormEqSystemSolutionFailed 

Failed to solve the system of normal equations

ErrorLinRegXtXInvFailed 

Failed to invert Xt*X matrix

ErrorLowOrderMomentsInternal 

Low Order Moments internal error

ErrorIncorrectNumberOfClasses 

Number of classes provided to classifier is too small

ErrorMultiClassNullTwoClassTraining 

Null two-class classifier training algorithm is not supported

ErrorMultiClassFailedToTrainTwoClassClassifier 

Failed to train a model of two-class classifier

ErrorMultiClassFailedToComputeTwoClassPrediction 

Failed to compute prediction based on two-class classifier model

ErrorEmptyInputCollection 

Naive Bayes: Input collection is empty

ErrorNaiveBayesIncorrectModel 

Naive Bayes: Input model is not consistent with the number of classes

ErrorOutlierDetectionInternal 

Outlier Detection internal error

ErrorPCAFailedToComputeCorrelationEigenvalues 

Failed to compute eigenvalues of the correlation matrix

ErrorPCACorrelationInputDataTypeSupportsOfflineModeOnly 

This type of the input data supports only offline mode of the computations

ErrorIncorrectCrossProductTableSize 

Number of columns or rows in cross-product numeric table is incorrect

ErrorCrossProductTableIsNotSquare 

Number of columns or rows in cross-product numeric table is not equal

ErrorInputCorrelationNotSupportedInOnlineAndDistributed 

Input correlation matrix is not supported in online and distributed computation modes

ErrorIncorrectNComponents 

Incorrect nComponents parameter: nComponents should be less or equal to number of columns in testing dataset

ErrorQRInternal 

QR internal error

ErrorQrIthParamIllegalValue 

QR internal error

ErrorQrXBDSQRDidNotConverge 

QR internal error

ErrorStumpIncorrectSplitFeature 

Incorrect split feature

ErrorStumpInvalidInputCategoricalData 

Invalid stump training data: all features in the input table are categorical and each feature has < 2 categories

ErrorSvdIthParamIllegalValue 

SVD internal error

ErrorSvdXBDSQRDidNotConverge 

SVD internal error

ErrorLCNinnerConvolution 

Error in convolution 2d layer

ErrorSVMPredictKernerFunctionCall 

SVM predict: error in kernel function call. Details are as follows.

ErrorIncorrectWeakLearnerClassificationAlgorithm 

Weak learner can not be casted to classifier algorithm

ErrorIncorrectWeakLearnerRegressionAlgorithm 

Weak learner can not be casted to regression algorithm

ErrorIncorrectWeakLearnerClassificationModel 

Weak learner's model can not be casted to classifier model

ErrorIncorrectWeakLearnerRegressionModel 

Weak learner's model can not be casted to regression model

ErrorCompressionNullInputStream 

Null input stream is not supported

ErrorCompressionNullOutputStream 

Null output stream is not supported

ErrorCompressionEmptyInputStream 

Input stream of size 0 is not supported

ErrorCompressionEmptyOutputStream 

Output stream of size 0 is not supported

ErrorZlibInternal 

Zlib internal error

ErrorZlibDataFormat 

Input compressed stream is in wrong format, corrupted or contains not a whole number of compressed blocks

ErrorZlibParameters 

Unsupported Zlib parameters

ErrorZlibMemoryAllocationFailed 

Internal Zlib memory allocation failed

ErrorZlibNeedDictionary 

Specific dictionary is needed for decompression, currently unsupported Zlib feature

ErrorBzip2Internal 

Bzip2 internal error

ErrorBzip2DataFormat 

Input compressed stream is in wrong format, corrupted or contains not a whole number of compressed blocks

ErrorBzip2Parameters 

Unsupported Bzip2 parameters

ErrorBzip2MemoryAllocationFailed 

Internal Bzip2 memory allocation failed

ErrorLzoInternal 

LZO internal error

ErrorLzoOutputStreamSizeIsNotEnough 

Size of output stream is not enough to start compression

ErrorLzoDataFormat 

Input compressed stream is in wrong format or corrupted

ErrorLzoDataFormatLessThenHeader 

Size of input compressed stream is less then compressed block header size

ErrorLzoDataFormatNotFullBlock 

Input compressed stream contains not a whole number of compressed blocks

ErrorRleInternal 

RLE internal error

ErrorRleOutputStreamSizeIsNotEnough 

Size of output stream is not enough to start compression

ErrorRleDataFormat 

Input compressed stream is in wrong format or corrupted

ErrorRleDataFormatLessThenHeader 

Size of input compressed stream is less then compressed block header size

ErrorRleDataFormatNotFullBlock 

Input compressed stream contains not a whole number of compressed blocks

ErrorLowerBoundGreaterThanOrEqualToUpperBound 

Lower bound parameter greater than or equal to upper bound

ErrorQuantileOrderValueIsInvalid 

Quantile order value is invalid

ErrorQuantilesInternal 

Quantile internal error

ErrorALSInternal 

ALS algorithm failed to solve a system of normal equations

ErrorALSInconsistentSparseDataBlocks 

Failed to find a non-zero value with needed indices in a sparse data block

ErrorSorting 

Cannot sort the numeric table

ErrorNegativeLearningRate 

Negative learning rate

ErrorMeanAndStandardDeviationComputing 

Computation of mean and standard deviation failed

ErrorNullVariance 

Failed to normalize data in column: it has null variance deviation

ErrorMinAndMaxComputing 

Computation of minimum and maximum failed

ErrorZeroNumberOfTerms 

Number of terms can not be zero

ErrorConvolutionInternal 

Convoltion internal error

ErrorIncorrectKernelSise1 

Convolution2d bakward: incorrect parameter kernelSize1

ErrorIncorrectKernelSise2 

Convolution2d bakward: incorrect parameter kernelSize2

ErrorRidgeRegressionInternal 

Ridge Regression internal error

ErrorRidgeRegressionNormEqSystemSolutionFailed 

Failed to solve the system of normal equations

ErrorRidgeRegressionInvertFailed 

Failed to invert matrix

ErrorInconsistenceModelAndBatchSizeInParameter 

Inconsistence of model and batch size parameter in optimization solver

ErrorNeuralNetworkLayerCall 

Error in neural network layer call

ErrorSplitLayerBackward 

Error in split layer backward

ErrorPivotedQRInternal 

Pivoted QR internal error

ErrorDFBootstrapVarImportanceIncompatible 

Parameter 'bootstrap' is incompatible with requested variable importance type

ErrorDFBootstrapOOBIncompatible 

Parameter 'bootstrap' is incompatible with requested OOB result (no out-of-bag observations)

ErrorGbtIncorrectNumberOfTrees 

Number of trees in the model is not consistent with the number of classes

ErrorGbtPredictIncorrectNumberOfIterations 

Number of iterations value in GBT parameter is not consistent with the model

ErrorUserAllocatedMemory 

Couldn't free memory allocated by user

ErrorDataSourseNotAvailable 

ErrorDataSourseNotAvailable

ErrorHandlesSQL 

ErrorHandlesSQL

ErrorODBC 

ErrorODBC

ErrorSQLstmtHandle 

ErrorSQLstmtHandle

ErrorOnFileOpen 

Error on file open

ErrorOnFileRead 

Error on file read

ErrorNullByteInjection 

Error null byte injection

ErrorKDBNoConnection 

ErrorKDBNoConnection

ErrorKDBWrongCredentials 

ErrorKDBWrongCredentials

ErrorKDBNetworkError 

ErrorKDBNetworkError

ErrorKDBServerError 

ErrorKDBServerError

ErrorKDBTypeUnsupported 

ErrorKDBTypeUnsupported

ErrorKDBWrongTypeOfOutput 

ErrorKDBWrongTypeOfOutput

ErrorIncorrectEngineParameter 

Incorrect engine parameter in distribution

ErrorEmptyInputAlgorithmsCollection 

Input algorithms collection is empty

ErrorObjectDoesNotSupportSerialization 

SerializationIface is not implemented or implemented incorrectly

ErrorCouldntAttachCurrentThreadToJavaVM 

Couldn't attach current thread to Java VM

ErrorCouldntCreateGlobalReferenceToJavaObject 

Couldn't create global reference to Java object

ErrorCouldntFindJavaMethod 

Couldn't find Java method

ErrorCouldntFindClassForJavaObject 

Couldn't find class for Java object

ErrorCouldntDetachCurrentThreadFromJavaVM 

Couldn't detach current thread from Java VM

UnknownError 

Unknown error

NoErrorMessageFound 

No error message found

ErrorMethodNotImplemented 

Method is not implemented in the present library version

ErrorIncorrectOffset 

Incorrect offset

ErrorIterativeSolverIncorrectMaxNumberOfIterations 

Incorrect maximum number of iterations value in solver

ErrorIncorrectNumberOfTerms 

Incorrect number of summands (terms) in objective function

ErrorIncorrectNumberOfNodes 

Incorrect number of nodes

For more complete information about compiler optimizations, see our Optimization Notice.