Enumerator |
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ErrorMethodNotSupported | Method not supported by the algorithm
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ErrorIncorrectNumberOfFeatures | Number of columns in numeric table is incorrect
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ErrorIncorrectNumberOfObservations | Number of rows in numeric table is incorrect
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ErrorIncorrectSizeOfArray | Incorrect size of array
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ErrorNullParameterNotSupported | Null parameter is not supported by the algorithm
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ErrorIncorrectNumberOfArguments | Number of arguments is incorrect
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ErrorIncorrectInputNumericTable | Input numeric table is incorrect
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ErrorEmptyInputNumericTable | Input numeric table is empty
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ErrorIncorrectDataRange | Data range is incorrect
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ErrorPrecomputedStatisticsIndexOutOfRange | Precomputed statistics index is out of range
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ErrorIncorrectNumberOfInputNumericTables | Incorrect number of input numeric tables
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ErrorIncorrectNumberOfOutputNumericTables | Incorrect number of output numeric tables
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ErrorNullInputNumericTable | Null input numeric table is not supported
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ErrorNullOutputNumericTable | Null output numeric table is not supported
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ErrorNullModel | Null model is not supported
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ErrorInconsistentNumberOfRows | Number of rows in provided numeric tables is inconsistent
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ErrorIncorrectSizeOfInputNumericTable | Number of columns or rows in input numeric table is incorrect
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ErrorIncorrectSizeOfOutputNumericTable | Number of columns or rows in output numeric table is incorrect
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ErrorIncorrectNumberOfRowsInInputNumericTable | Number of rows in input numeric table is incorrect
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ErrorIncorrectNumberOfColumnsInInputNumericTable | Number of columns in input numeric table is incorrect
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ErrorIncorrectNumberOfRowsInOutputNumericTable | Number of rows in output numeric table is incorrect
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ErrorIncorrectNumberOfColumnsInOutputNumericTable | Number of columns in output numeric table is incorrect
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ErrorIncorrectTypeOfInputNumericTable | Incorrect type of input NumericTable
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ErrorIncorrectTypeOfOutputNumericTable | Incorrect type of output NumericTable
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ErrorIncorrectNumberOfElementsInInputCollection | Incorrect number of elements in input collection
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ErrorIncorrectNumberOfElementsInResultCollection | Incorrect number of elements in result collection
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ErrorNullInput | Input not set
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ErrorNullResult | Result not set
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ErrorIncorrectParameter | Incorrect parameter
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ErrorModelNotFullInitialized | Model is not full initialized
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ErrorInconsistentNumberOfColumns | Inconsistent number of rows in Numeric Table
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ErrorIncorrectIndex | Index in collection is out of range
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ErrorDataArchiveInternal | Incorrect size of data block
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ErrorNullPartialModel | Null partial model is not supported
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ErrorNullInputDataCollection | Null input data collection is not supported
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ErrorNullOutputDataCollection | Null output data collection is not supported
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ErrorNullPartialResult | Partial result not set
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ErrorIncorrectNumberOfInputNumericTensors | Incorrect number of elements in input collection
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ErrorIncorrectNumberOfOutputNumericTensors | Incorrect number of elements in output collection
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ErrorNullTensor | Null tensor is not supported
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ErrorIncorrectNumberOfDimensionsInTensor | Number of dimensions in tensor is incorrect
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ErrorIncorrectSizeOfDimensionInTensor | Size of the dimension in input tensor is incorrect
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ErrorNullLayerData | Null layer data is not supported
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ErrorIncorrectSizeOfLayerData | Incorrect number of elements in layer data collection
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ErrorNullNumericTable | Null numeric table is not supported
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ErrorIncorrectNumberOfColumns | Number of columns in numeric table is incorrect
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ErrorIncorrectNumberOfRows | Number of rows in numeric table is incorrect
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ErrorIncorrectTypeOfNumericTable | Incorrect type of Numeric Table
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ErrorUnsupportedCSRIndexing | CSR Numeric Table has unsupported indexing type
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ErrorSignificanceLevel | Incorrect significance level value
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ErrorAccuracyThreshold | Incorrect accuracy threshold
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ErrorIncorrectNumberOfBetas | Incorrect number of betas in linear regression model
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ErrorIncorrectNumberOfBetasInReducedModel | Incorrect number of betas in reduced linear regression model
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ErrorNumericTableIsNotSquare | Numeric table is not square
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ErrorNullAuxiliaryAlgorithm | Null auxiliary algorithm
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ErrorNullInitializationProcedure | Null initialization procedure
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ErrorNullAuxiliaryDataCollection | Null auxiliary data collection
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ErrorEmptyAuxiliaryDataCollection | Empty auxiliary data collection
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ErrorIncorrectElementInCollection | Incorrect element in collection
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ErrorNullPartialResultDataCollection | Null partial result data collection
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ErrorIncorrectElementInPartialResultCollection | Incorrect element in collection of partial results
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ErrorIncorrectElementInNumericTableCollection | Incorrect element in collection of numeric tables
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ErrorNullOptionalResult | Null optional result
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ErrorIncorrectOptionalResult | Incorrect optional result
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ErrorIncorrectOptionalInput | Incorrect optional input
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ErrorIncorrectNumberOfPartialClusters | Incorrect number of partial clusters
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ErrorIncorrectTotalNumberOfPartialClusters | Incorrect total number of partial clusters
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ErrorIncorrectDataCollectionSize | Incorrect DataCollection size
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ErrorIncorrectValueInTheNumericTable | Incorrect value in the numeric table
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ErrorIncorrectItemInDataCollection | Incorrect item in data collection
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ErrorNullPtr | Null pointer in input arguments
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ErrorUndefinedFeature | Dictionary contains a undefined feature
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ErrorCloneMethodFailed | Cloning of algorithm failed
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ErrorCpuIsInvalid | Invalid CPU value used
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ErrorCpuNotSupported | CPU not supported
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ErrorMemoryAllocationFailed | Memory allocation failed
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ErrorEmptyDataBlock | Empty data block
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ErrorIncorrectCombinationOfComputationModeAndStep | Incorrect combination of computation mode and computation step
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ErrorDictionaryAlreadyAvailable | Data Dictionary is already available
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ErrorDictionaryNotAvailable | Data Dictionary is not available
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ErrorNumericTableNotAvailable | Numeric Table is not available
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ErrorNumericTableAlreadyAllocated | Numeric Table was already allocated
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ErrorNumericTableNotAllocated | Numeric Table is not allocated
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ErrorPrecomputedSumNotAvailable | Precomputed sums are not available
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ErrorPrecomputedMinNotAvailable | Precomputed minimum values are not available
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ErrorPrecomputedMaxNotAvailable | Precomputed maximum values are not available
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ErrorServiceMicroTableInternal | Numeric Table internal error
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ErrorEmptyCSRNumericTable | CSR Numeric Table is empty
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ErrorEmptyHomogenNumericTable | Homogeneous Numeric Table is empty
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ErrorSourceDataNotAvailable | Source data is not available
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ErrorEmptyDataSource | Data source is empty
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ErrorIncorrectClassLabels | Class labels provided to classification algorithm are incorrect
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ErrorIncorrectSizeOfModel | Incorrect size of model
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ErrorIncorrectTypeOfModel | Incorrect type of model
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ErrorIncorrectErrorcodeFromGenerator | Incorrect error code is returned from data generator
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ErrorLeapfrogUnsupported | Leapfrog method is not supported by generator
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ErrorSkipAheadUnsupported | SkipAhead method is not supported by generator
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ErrorInputSigmaMatrixHasNonPositiveMinor | Input sigma matrix has non positive minor
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ErrorInputSigmaMatrixHasIllegalValue | Input sigma matrix has illegal value
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ErrorIncorrectInternalFunctionParameter | Incorrect parameter in internal function call
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ErrorUserCancelled | Computation cancelled at user's request
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ErrorAprioriIncorrectItemsetTableSize | Number of rows in the output table containing 'large' item sets is too small
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ErrorAprioriIncorrectSupportTableSize | Number of rows in the output table containing 'large' item sets support values is too small
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ErrorAprioriIncorrectLeftRuleTableSize | Number of rows in the output table containing left parts of the association rules is too small
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ErrorAprioriIncorrectRightRuleTableSize | Number of rows in the output table containing right parts of the association rules is too small
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ErrorAprioriIncorrectConfidenceTableSize | Number of rows in the output table containing association rules confidence is too small
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ErrorAprioriIncorrectInputData | Incorrect input data
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ErrorCholeskyInternal | Cholesky internal error
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ErrorInputMatrixHasNonPositiveMinor | Input matrix has non positive minor
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ErrorCovarianceInternal | Covariance internal error
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ErrorEMMatrixInverse | Sigma matrix on M-step cannot be inverted
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ErrorEMIncorrectToleranceToConverge | Incorrect value of tolerance to converge in EM parameter
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ErrorEMIllConditionedCovarianceMatrix | Ill-conditioned covariance matrix
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ErrorEMIncorrectMaxNumberOfIterations | Incorrect maximum number of iterations value in EM parameter
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ErrorEMNegativeDefinedCovarianceMartix | Negative-defined covariance matrix
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ErrorEMEmptyComponent | Empty component during computation
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ErrorEMCovariance | Error during covariance computation for component on M step
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ErrorEMIncorrectNumberOfComponents | Incorrect number of components value in EM parameter
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ErrorEMInitNoTrialConverges | No trial of internal EM start converges
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ErrorEMInitIncorrectToleranceToConverge | Incorrect tolerance to converge value in EM initialization parameter
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ErrorEMInitIncorrectDepthNumberIterations | Incorrect depth number of iterations value in EM init parameter
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ErrorEMInitIncorrectNumberOfTrials | Incorrect number of trials value in EM initialization parameter
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ErrorEMInitIncorrectNumberOfComponents | Incorrect numeber of components value in EM initialization parameter
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ErrorEMInitInconsistentNumberOfComponents | Inconsistent number of component: number of observations should be greater than number of components
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ErrorVarianceComputation | Error during variance computation
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ErrorKMeansNumberOfClustersIsTooLarge | Number of clusters exceeds the number of points
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ErrorLinearRegressionInternal | Linear Regression internal error
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ErrorNormEqSystemSolutionFailed | Failed to solve the system of normal equations
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ErrorLinRegXtXInvFailed | Failed to invert Xt*X matrix
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ErrorLowOrderMomentsInternal | Low Order Moments internal error
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ErrorIncorrectNumberOfClasses | Number of classes provided to classifier is too small
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ErrorMultiClassNullTwoClassTraining | Null two-class classifier training algorithm is not supported
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ErrorMultiClassFailedToTrainTwoClassClassifier | Failed to train a model of two-class classifier
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ErrorMultiClassFailedToComputeTwoClassPrediction | Failed to compute prediction based on two-class classifier model
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ErrorEmptyInputCollection | Naive Bayes: Input collection is empty
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ErrorOutlierDetectionInternal | Outlier Detection internal error
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ErrorPCAFailedToComputeCorrelationEigenvalues | Failed to compute eigenvalues of the correlation matrix
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ErrorPCACorrelationInputDataTypeSupportsOfflineModeOnly | This type of the input data supports only offline mode of the computations
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ErrorIncorrectCrossProductTableSize | Number of columns or rows in cross-product numeric table is incorrect
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ErrorCrossProductTableIsNotSquare | Number of columns or rows in cross-product numeric table is not equal
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ErrorInputCorrelationNotSupportedInOnlineAndDistributed | Input correlation matrix is not supported in online and distributed computation modes
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ErrorQRInternal | QR internal error
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ErrorQrIthParamIllegalValue | QR internal error
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ErrorQrXBDSQRDidNotConverge | QR internal error
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ErrorStumpIncorrectSplitFeature | Incorrect split feature
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ErrorStumpInvalidInputCategoricalData | Invalid stump training data: all features in the input table are categorical and each feature has < 2 categories
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ErrorSvdIthParamIllegalValue | SVD internal error
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ErrorSvdXBDSQRDidNotConverge | SVD internal error
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ErrorLCNinnerConvolution | Error in convolution 2d layer
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ErrorSVMPredictKernerFunctionCall | SVM predict: error in kernel function call. Details are as follows.
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ErrorCompressionNullInputStream | Null input stream is not supported
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ErrorCompressionNullOutputStream | Null output stream is not supported
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ErrorCompressionEmptyInputStream | Input stream of size 0 is not supported
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ErrorCompressionEmptyOutputStream | Output stream of size 0 is not supported
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ErrorZlibInternal | Zlib internal error
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ErrorZlibDataFormat | Input compressed stream is in wrong format, corrupted or contains not a whole number of compressed blocks
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ErrorZlibParameters | Unsupported Zlib parameters
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ErrorZlibMemoryAllocationFailed | Internal Zlib memory allocation failed
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ErrorZlibNeedDictionary | Specific dictionary is needed for decompression, currently unsupported Zlib feature
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ErrorBzip2Internal | Bzip2 internal error
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ErrorBzip2DataFormat | Input compressed stream is in wrong format, corrupted or contains not a whole number of compressed blocks
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ErrorBzip2Parameters | Unsupported Bzip2 parameters
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ErrorBzip2MemoryAllocationFailed | Internal Bzip2 memory allocation failed
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ErrorLzoInternal | LZO internal error
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ErrorLzoOutputStreamSizeIsNotEnough | Size of output stream is not enough to start compression
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ErrorLzoDataFormat | Input compressed stream is in wrong format or corrupted
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ErrorLzoDataFormatLessThenHeader | Size of input compressed stream is less then compressed block header size
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ErrorLzoDataFormatNotFullBlock | Input compressed stream contains not a whole number of compressed blocks
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ErrorRleInternal | RLE internal error
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ErrorRleOutputStreamSizeIsNotEnough | Size of output stream is not enough to start compression
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ErrorRleDataFormat | Input compressed stream is in wrong format or corrupted
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ErrorRleDataFormatLessThenHeader | Size of input compressed stream is less then compressed block header size
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ErrorRleDataFormatNotFullBlock | Input compressed stream contains not a whole number of compressed blocks
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ErrorLowerBoundGreaterThanOrEqualToUpperBound | Lower bound parameter greater than or equal to upper bound
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ErrorQuantileOrderValueIsInvalid | Quantile order value is invalid
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ErrorQuantilesInternal | Quantile internal error
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ErrorALSInternal | ALS algorithm failed to solve a system of normal equations
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ErrorALSInconsistentSparseDataBlocks | Failed to find a non-zero value with needed indices in a sparse data block
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ErrorSorting | Cannot sort the numeric table
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ErrorNegativeLearningRate | Negative learning rate
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ErrorMeanAndStandardDeviationComputing | Computation of mean and standard deviation failed
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ErrorNullVariance | Failed to normalize data in column: it has null variance deviation
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ErrorMinAndMaxComputing | Computation of minimum and maximum failed
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ErrorZeroNumberOfTerms | Number of terms can not be zero
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ErrorConvolutionInternal | Convoltion internal error
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ErrorIncorrectKernelSise1 | Convolution2d bakward: incorrect parameter kernelSize1
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ErrorIncorrectKernelSise2 | Convolution2d bakward: incorrect parameter kernelSize2
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ErrorRidgeRegressionInternal | Ridge Regression internal error
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ErrorRidgeRegressionNormEqSystemSolutionFailed | Failed to solve the system of normal equations
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ErrorRidgeRegressionInvertFailed | Failed to invert matrix
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ErrorInconsistenceModelAndBatchSizeInParameter | Inconsistence of model and batch size parameter in optimization solver
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ErrorNeuralNetworkLayerCall | Error in neural network layer call
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ErrorSplitLayerBackward | Error in split layer backward
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ErrorPivotedQRInternal | Pivoted QR internal error
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ErrorDFBootstrapVarImportanceIncompatible | Parameter 'bootstrap' is incompatible with requested variable importance type
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ErrorDFBootstrapOOBIncompatible | Parameter 'bootstrap' is incompatible with requested OOB result (no out-of-bag observations)
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ErrorGbtIncorrectNumberOfTrees | Number of trees in the model is not consistent with the number of classes
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ErrorGbtPredictIncorrectNumberOfIterations | Number of iterations value in GBT parameter is not consistent with the model
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ErrorUserAllocatedMemory | Couldn't free memory allocated by user
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ErrorDataSourseNotAvailable | ErrorDataSourseNotAvailable
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ErrorHandlesSQL | ErrorHandlesSQL
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ErrorODBC | ErrorODBC
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ErrorSQLstmtHandle | ErrorSQLstmtHandle
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ErrorOnFileOpen | Error on file open
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ErrorOnFileRead | Error on file read
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ErrorKDBNoConnection | ErrorKDBNoConnection
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ErrorKDBWrongCredentials | ErrorKDBWrongCredentials
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ErrorKDBNetworkError | ErrorKDBNetworkError
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ErrorKDBServerError | ErrorKDBServerError
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ErrorKDBTypeUnsupported | ErrorKDBTypeUnsupported
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ErrorKDBWrongTypeOfOutput | ErrorKDBWrongTypeOfOutput
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ErrorIncorrectEngineParameter | Incorrect engine parameter in distribution
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ErrorEmptyInputAlgorithmsCollection | Input algorithms collection is empty
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ErrorObjectDoesNotSupportSerialization | SerializationIface is not implemented or implemented incorrectly
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ErrorCouldntAttachCurrentThreadToJavaVM | Couldn't attach current thread to Java VM
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ErrorCouldntCreateGlobalReferenceToJavaObject | Couldn't create global reference to Java object
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ErrorCouldntFindJavaMethod | Couldn't find Java method
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ErrorCouldntFindClassForJavaObject | Couldn't find class for Java object
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ErrorCouldntDetachCurrentThreadFromJavaVM | Couldn't detach current thread from Java VM
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UnknownError | Unknown error
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NoErrorMessageFound | No error message found
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