Python* API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
Provides information about the version of Intel(R) Data Analytics Acceleration Library. More...
Classes | |
class | Exception |
Class that represents an exception. More... | |
class | Error |
Class that represents an error. More... | |
class | KernelErrorCollection |
Class that represents a kernel error collection (collection that cannot throw exceptions) More... | |
class | Status |
class | Environment |
Class that provides methods to interact with the environment, including processor detection and control by the number of threads. More... | |
class | Collection |
Class that implements functionality of the Collection container. More... | |
Functions | |
def | __init__ |
def | what |
def | getException |
def | __init__ |
def | id |
def | setId |
def | description |
def | addIntDetail |
def | addDoubleDetail |
def | addStringDetail |
def | details |
def | create |
def | __init__ |
def | add |
def | isEmpty |
def | size |
def | at |
def | getDescription |
def | throwIfPossible |
def | checkForNullByteInjection |
def | getInstance |
def | freeInstance |
def | getCpuId |
def | setCpuId |
def | enableInstructionsSet |
def | setDynamicLibraryThreadingTypeOnWindows |
def | setNumberOfThreads |
def | enableThreadPinning |
def | getNumberOfThreads |
def | setMemoryLimit |
def | Environment_getInstance |
def | Environment_freeInstance |
def | __init__ |
def | size |
def | capacity |
def | get |
def | data |
def | push_back |
def | safe_push_back |
def | __lshift__ |
def | resize |
def | clear |
def | insert |
def | erase |
def | __getitem__ |
def | __setitem__ |
Provides information about the version of Intel(R) Data Analytics Acceleration Library.
def __getitem__ | ( | self, | |
i | |||
) |
read operator []
def __init__ | ( | self, | |
description | |||
) |
Constructs an exception with a description
description | Description of the exception |
def __init__ | ( | self, | |
args | |||
) |
Constructs an error from an identifier
id | Identifier of the error |
Copy constructor. Constructs an error from a copy of the content of another error
e | Another error to be used as a source with which to initialize the contents of this error |
def __init__ | ( | self, | |
args | |||
) |
Constructs a kernel error collection
Copy constructor of a kernel error collection
other | Kernel error collection that will be copied |
def __init__ | ( | self, | |
args | |||
) |
Default constructor. Sets the size and capacity to 0.
Constructor. Creates a collection with n empty elements
n | Number of elements |
Constructor. Creates a collection from the array
n | Number of elements |
array | Array with elements |
Copy constructor
other | Copied collection |
def __lshift__ | ( | self, | |
x | |||
) |
Adds an element to the end of a collection
x | Element to add |
def __setitem__ | ( | self, | |
i, | |||
v | |||
) |
write operator []
def add | ( | self, | |
args | |||
) |
Adds error id to kernel error collection
id | Identifier of error |
Adds error to kernel error collection
e | Error to be added to kernel error collection |
Adds error kernel collection
e | Error collection that will be added |
Adds error kernel collection
e | Error collection that will be added |
def addDoubleDetail | ( | self, | |
id, | |||
value | |||
) |
Adds a floating-point detail into a collection of details associated with this error
id | Identifier of the detail |
value | Value of the detail |
def addIntDetail | ( | self, | |
id, | |||
value | |||
) |
Adds an integer detail into a collection of details associated with this error
id | Identifier of the detail |
value | Value of the detail |
def addStringDetail | ( | self, | |
id, | |||
value | |||
) |
Adds a string detail into a collection of details associated with this error
id | Identifier of the detail |
value | Value of the detail |
def at | ( | self, | |
args | |||
) |
Element access
index | Index of an accessed element |
Element access
index | Index of an accessed element |
def capacity | ( | self | ) |
Size of an allocated storage
def daal.services.checkForNullByteInjection | ( | begin, | |
end | |||
) |
checkForNullByteInjection(char const * begin, char const *const end) -> Status
def clear | ( | self | ) |
Clears a collection: removes an array, sets the size and capacity to 0
def create | ( | args | ) |
create(daal.services.ErrorID id) -> daal.services.SharedPtr< daal.services.Error >
def data | ( | self, | |
args | |||
) |
Returns pointer to the underlying array serving as element storage
Returns const pointer to the underlying array serving as element storage
def description | ( | self | ) |
Returns the word description of the error
def details | ( | self | ) |
Access to error details list
def enableInstructionsSet | ( | self, | |
enable | |||
) |
Enable dispatching for new Intel(R) architectures
enable | An enabling flag |
def enableThreadPinning | ( | self, | |
enableThreadPinningFlag = True |
|||
) |
Enables thread pinning
enableThreadPinningFlag | Flag to thread pinning enable |
def daal.services.Environment_freeInstance | ( | ) |
Decreases the instance counter
def daal.services.Environment_getInstance | ( | ) |
Returns the environment instance
def erase | ( | self, | |
pos | |||
) |
Erase an element from a position
pos | Position to erase |
def daal.services.Error_create | ( | args | ) |
create(daal.services.ErrorID id) -> daal.services.SharedPtr< daal.services.Error >
def daal.services.Exception_getException | ( | args | ) |
def freeInstance | ( | ) |
Decreases the instance counter
def get | ( | self, | |
args | |||
) |
Element access
index | Index of an accessed element |
Const element access
index | Index of an accessed element |
def getCpuId | ( | self, | |
args | |||
) |
Detects the processor type
enable | An enabling flag |
def getDescription | ( | self | ) |
Returns description of all errors from collection
def getException | ( | args | ) |
def getInstance | ( | ) |
Returns the environment instance
def getNumberOfThreads | ( | self | ) |
Returns the number of used threads
def id | ( | self | ) |
Returns a description of the error
def insert | ( | self, | |
args | |||
) |
Insert an element into a position
pos | Position to set |
x | Element to set |
Insert a collection to another collection into a position
pos | Position to see |
other | Collection to set |
def isEmpty | ( | self | ) |
Returns true if kernel error collection is empty
def push_back | ( | self, | |
x | |||
) |
Adds an element to the end of a collection
x | Element to add |
def resize | ( | self, | |
newCapacity | |||
) |
Changes the size of a storage
newCapacity | Size of a new storage. |
def safe_push_back | ( | self, | |
x | |||
) |
Adds an element to the end of a collection
x | The element to add |
def setCpuId | ( | self, | |
cpuid | |||
) |
Restrict dispatching to the required code path
cpuid | CPU ID |
def setDynamicLibraryThreadingTypeOnWindows | ( | self, | |
type | |||
) |
Sets the threading mode on Windows*
type | The threading mode of the library |
def setId | ( | self, | |
id | |||
) |
Sets an identifier of the error
id | Identifier of the error |
def setMemoryLimit | ( | self, | |
type, | |||
limit | |||
) |
Limits the amount of memory of the given type available to internal function calls
type | Memory type |
limit | Limit in megabytes |
def setNumberOfThreads | ( | self, | |
numThreads | |||
) |
Sets the number of threads to use
numThreads | The number of threads |
def size | ( | self | ) |
Size of a collection
def size | ( | self | ) |
Size of a collection
def daal.services.throwIfPossible | ( | s | ) |
throwIfPossible(Status s) -> Status
def what | ( | self | ) |
Return description of the exception
ActualValue = ... |
Detail about actual value
ArgumentName = ... |
Detail about argument name
avx = ... |
Intel(R) Advanced Vector Extensions (Intel(R) AVX)
avx2 = ... |
Intel(R) Advanced Vector Extensions 2 (Intel(R) AVX2)
avx512 = ... |
Intel(R) Xeon(R) processors based on Intel(R) Advanced Vector Extensions 512 (Intel(R) AVX-512)
|
static |
Intel(R) Xeon(R) processors based on Intel(R) Advanced Vector Extensions 512 (Intel(R) AVX-512)
avx512_mic = ... |
Intel(R) Xeon Phi(TM) processors/coprocessors based on Intel(R) Advanced Vector Extensions 512 (Intel(R) AVX-512)
|
static |
Intel(R) Xeon Phi(TM) processors/coprocessors based on Intel(R) Advanced Vector Extensions 512 (Intel(R) AVX-512)
avx512_mic_e1 = ... |
Intel(R) Xeon Phi(TM) processors based on Intel(R) Advanced Vector Extensions 512 (Intel(R) AVX-512) with support of AVX512_4FMAPS and AVX512_4VNNIW instruction groups. Should be used as parameter for setCpuId function only. Can`t be received as return value of setCpuId, getCpuId and enableInstructionsSet functions.
|
static |
Intel(R) Xeon Phi(TM) processors based on Intel(R) Advanced Vector Extensions 512 (Intel(R) AVX-512) with support of AVX512_4FMAPS and AVX512_4VNNIW instruction groups
Column = ... |
Detail about column
Component = ... |
Detail about component number
|
static |
Default processor type
Dimension = ... |
Detail about tensor dimension
ElementInCollection = ... |
Detail about element in collection
ErrorAccuracyThreshold = ... |
Incorrect accuracy threshold
ErrorALSInconsistentSparseDataBlocks = ... |
Failed to find a non-zero value with needed indices
ErrorALSInternal = ... |
ALS algorithm failed to solve a system of normal equations
ErrorAprioriIncorrectConfidenceTableSize = ... |
Number of rows in the output table containing
ErrorAprioriIncorrectInputData = ... |
Incorrect input data
ErrorAprioriIncorrectItemsetTableSize = ... |
Number of rows in the output table containing
ErrorAprioriIncorrectLeftRuleTableSize = ... |
Number of rows in the output table containing
ErrorAprioriIncorrectRightRuleTableSize = ... |
Number of rows in the output table containing
ErrorAprioriIncorrectSupportTableSize = ... |
Number of rows in the output table containing
ErrorBufferSizeIntegerOverflow = ... |
Integer oveflow is occured during buffer size calculation
ErrorBzip2DataFormat = ... |
Input compressed stream is in wrong format,
ErrorBzip2Internal = ... |
Bzip2 internal error
ErrorBzip2MemoryAllocationFailed = ... |
Internal Bzip2 memory allocation failed
ErrorBzip2Parameters = ... |
Unsupported Bzip2 parameters
ErrorCholeskyInternal = ... |
Cholesky internal error
ErrorCloneMethodFailed = ... |
Cloning of algorithm failed
ErrorCompressionEmptyInputStream = ... |
Input stream of size 0 is not supported
ErrorCompressionEmptyOutputStream = ... |
Output stream of size 0 is not supported
ErrorCompressionNullInputStream = ... |
Null input stream is not supported
ErrorCompressionNullOutputStream = ... |
Null output stream is not supported
ErrorConvolutionInternal = ... |
Convoltion internal error
ErrorCouldntAttachCurrentThreadToJavaVM = ... |
Couldn't attach current thread to Java VM
ErrorCouldntCreateGlobalReferenceToJavaObject = ... |
Couldn't create global reference to Java object
ErrorCouldntDetachCurrentThreadFromJavaVM = ... |
Couldn't detach current thread from Java VM
ErrorCouldntFindClassForJavaObject = ... |
Couldn't find class for Java object
ErrorCouldntFindJavaMethod = ... |
Couldn't find Java method
ErrorCovarianceInternal = ... |
Covariance internal error
ErrorCpuIsInvalid = ... |
Invalid CPU value used
ErrorCpuNotSupported = ... |
CPU not supported
ErrorCrossProductTableIsNotSquare = ... |
Number of columns or rows
ErrorDataArchiveInternal = ... |
Incorrect size of data block
ErrorDataSourseNotAvailable = ... |
ErrorDataSourseNotAvailable
ErrorDataTypeNotSupported = ... |
Data type not supported
ErrorDFBootstrapOOBIncompatible = ... |
Parameter 'bootstrap' is incompatible with requested OOB result (no out-of-bag observations)
ErrorDFBootstrapVarImportanceIncompatible = ... |
Parameter 'bootstrap' is incompatible with requested variable importance type
ErrorDictionaryAlreadyAvailable = ... |
Data Dictionary is already available
ErrorDictionaryNotAvailable = ... |
Data Dictionary is not available
ErrorEMCovariance = ... |
Error during covariance computation for component on M step
ErrorEMEmptyComponent = ... |
Empty component during computation
ErrorEMIllConditionedCovarianceMatrix = ... |
Ill-conditioned covariance matrix
ErrorEMIncorrectMaxNumberOfIterations = ... |
Incorrect maximum number of iterations value in EM parameter
ErrorEMIncorrectNumberOfComponents = ... |
Incorrect number of components value in EM parameter
ErrorEMIncorrectToleranceToConverge = ... |
Incorrect value of tolerance to converge in EM parameter
ErrorEMInitInconsistentNumberOfComponents = ... |
Inconsistent number of component: number of observations should be
ErrorEMInitIncorrectDepthNumberIterations = ... |
Incorrect depth number of iterations value in EM init parameter
ErrorEMInitIncorrectNumberOfComponents = ... |
Incorrect numeber of components value in EM initialization parameter
ErrorEMInitIncorrectNumberOfTrials = ... |
Incorrect number of trials value in EM initialization parameter
ErrorEMInitIncorrectToleranceToConverge = ... |
Incorrect tolerance to converge value in EM initialization parameter
ErrorEMInitNoTrialConverges = ... |
No trial of internal EM start converges
ErrorEMMatrixInverse = ... |
Sigma matrix on M-step cannot be inverted
ErrorEMNegativeDefinedCovarianceMartix = ... |
Negative-defined covariance matrix
ErrorEmptyAuxiliaryDataCollection = ... |
Empty auxiliary data collection
ErrorEmptyCSRNumericTable = ... |
CSR Numeric Table is empty
ErrorEmptyDataBlock = ... |
Empty data block
ErrorEmptyDataSource = ... |
Data source is empty
ErrorEmptyHomogenNumericTable = ... |
Homogeneous Numeric Table is empty
ErrorEmptyInputAlgorithmsCollection = ... |
Input algorithms collection is empty
ErrorEmptyInputCollection = ... |
Naive Bayes: Input collection is empty
ErrorEmptyInputNumericTable = ... |
Input numeric table is empty
ErrorFeatureNamesNotAvailable = ... |
Feature names are not available for feature modifier
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
ErrorHandlesSQL = ... |
ErrorHandlesSQL
ErrorInconsistenceModelAndBatchSizeInParameter = ... |
Inconsistence of model and batch size parameter in optimization solver
ErrorInconsistentNumberOfClasses = ... |
Inconsistent number of classes between boosting
ErrorInconsistentNumberOfColumns = ... |
Inconsistent number of rows in Numeric Table
ErrorInconsistentNumberOfRows = ... |
Number of rows in provided numeric tables is inconsistent
ErrorIncorrectClassLabels = ... |
Class labels provided to classification algorithm are incorrect
ErrorIncorrectCombinationOfComputationModeAndStep = ... |
Incorrect combination of computation mode and computation step
ErrorIncorrectCrossProductTableSize = ... |
Number of columns or rows
ErrorIncorrectDataCollectionSize = ... |
Incorrect DataCollection size
ErrorIncorrectDataRange = ... |
Data range is incorrect
ErrorIncorrectElementInCollection = ... |
Incorrect element in collection
ErrorIncorrectElementInNumericTableCollection = ... |
Incorrect element in collection of numeric tables
ErrorIncorrectElementInPartialResultCollection = ... |
Incorrect element in collection of partial results
ErrorIncorrectEngineParameter = ... |
Incorrect engine parameter in distribution
ErrorIncorrectErrorcodeFromGenerator = ... |
Incorrect error code is returned from data generator
ErrorIncorrectIndex = ... |
Index in collection is out of range
ErrorIncorrectInputNumericTable = ... |
Input numeric table is incorrect
ErrorIncorrectInternalFunctionParameter = ... |
Incorrect parameter in internal function call
ErrorIncorrectItemInDataCollection = ... |
Incorrect item in data collection
ErrorIncorrectKernelSise1 = ... |
Convolution2d bakward: incorrect parameter kernelSize1
ErrorIncorrectKernelSise2 = ... |
Convolution2d bakward: incorrect parameter kernelSize2
ErrorIncorrectNComponents = ... |
Incorrect nComponents parameter: nComponents should be less or equal
ErrorIncorrectNumberOfArguments = ... |
Number of arguments is incorrect
ErrorIncorrectNumberOfBetas = ... |
Incorrect number of betas in linear regression model
ErrorIncorrectNumberOfBetasInReducedModel = ... |
Incorrect number of betas in reduced linear regression model
ErrorIncorrectNumberOfClasses = ... |
Number of classes provided to classifier is too small
ErrorIncorrectNumberOfColumns = ... |
Number of columns in numeric table is incorrect
ErrorIncorrectNumberOfColumnsInInputNumericTable = ... |
Number of columns in input numeric table is incorrect
ErrorIncorrectNumberOfColumnsInOutputNumericTable = ... |
Number of columns in output numeric table is incorrect
ErrorIncorrectNumberOfDimensionsInTensor = ... |
Number of dimensions in tensor is incorrect
ErrorIncorrectNumberOfElementsInInputCollection = ... |
Incorrect number of elements in input collection
ErrorIncorrectNumberOfElementsInResultCollection = ... |
Incorrect number of elements in result collection
ErrorIncorrectNumberOfFeatures = ... |
Number of columns in numeric table is incorrect
ErrorIncorrectNumberOfInputNumericTables = ... |
Incorrect number of input numeric tables
ErrorIncorrectNumberOfInputNumericTensors = ... |
Incorrect number of elements in input collection
ErrorIncorrectNumberOfNodes = ... |
Incorrect number of nodes
ErrorIncorrectNumberOfObservations = ... |
Number of rows in numeric table is incorrect
ErrorIncorrectNumberOfOutputNumericTables = ... |
Incorrect number of output numeric tables
ErrorIncorrectNumberOfOutputNumericTensors = ... |
Incorrect number of elements in output collection
ErrorIncorrectNumberOfPartialClusters = ... |
Incorrect number of partial clusters
ErrorIncorrectNumberOfRows = ... |
Number of rows in numeric table is incorrect
ErrorIncorrectNumberOfRowsInInputNumericTable = ... |
Number of rows in input numeric table is incorrect
ErrorIncorrectNumberOfRowsInOutputNumericTable = ... |
Number of rows in output numeric table is incorrect
ErrorIncorrectNumberOfTerms = ... |
Incorrect number of summands (terms) in objective function
ErrorIncorrectOffset = ... |
Incorrect offset
ErrorIncorrectOptionalInput = ... |
Incorrect optional input
ErrorIncorrectOptionalResult = ... |
Incorrect optional result
ErrorIncorrectParameter = ... |
Incorrect parameter
ErrorIncorrectSizeOfArray = ... |
Incorrect size of array
ErrorIncorrectSizeOfDimensionInTensor = ... |
Size of the dimension in input tensor is incorrect
ErrorIncorrectSizeOfInputNumericTable = ... |
Number of columns or rows in input numeric table is incorrect
ErrorIncorrectSizeOfLayerData = ... |
Incorrect number of elements in layer data collection
ErrorIncorrectSizeOfModel = ... |
Incorrect size of model
ErrorIncorrectSizeOfOutputNumericTable = ... |
Number of columns or rows in output numeric table is incorrect
ErrorIncorrectTotalNumberOfPartialClusters = ... |
Incorrect total number of partial clusters
ErrorIncorrectTypeOfInputNumericTable = ... |
Incorrect type of input NumericTable
ErrorIncorrectTypeOfModel = ... |
Incorrect type of model
ErrorIncorrectTypeOfNumericTable = ... |
Incorrect type of Numeric Table
ErrorIncorrectTypeOfOutputNumericTable = ... |
Incorrect type of output NumericTable
ErrorIncorrectValueInTheNumericTable = ... |
Incorrect value in the numeric table
ErrorIncorrectWeakLearnerClassificationAlgorithm = ... |
Weak learner can not be casted to classifier algorithm
ErrorIncorrectWeakLearnerClassificationModel = ... |
Weak learner's model can not be casted to classifier model
ErrorIncorrectWeakLearnerRegressionAlgorithm = ... |
Weak learner can not be casted to regression algorithm
ErrorIncorrectWeakLearnerRegressionModel = ... |
Weak learner's model can not be casted to regression model
ErrorInputCorrelationNotSupportedInOnlineAndDistributed = ... |
Input correlation matrix is not supported in online and distributed
ErrorInputMatrixHasNonPositiveMinor = ... |
Input matrix has non positive minor
ErrorInputSigmaMatrixHasIllegalValue = ... |
Input sigma matrix has illegal value
ErrorInputSigmaMatrixHasNonPositiveMinor = ... |
Input sigma matrix has non positive minor
ErrorIterativeSolverIncorrectMaxNumberOfIterations = ... |
Incorrect maximum number of iterations value in solver
ErrorKDBNetworkError = ... |
ErrorKDBNetworkError
ErrorKDBNoConnection = ... |
ErrorKDBNoConnection
ErrorKDBServerError = ... |
ErrorKDBServerError
ErrorKDBTypeUnsupported = ... |
ErrorKDBTypeUnsupported
ErrorKDBWrongCredentials = ... |
ErrorKDBWrongCredentials
ErrorKDBWrongTypeOfOutput = ... |
ErrorKDBWrongTypeOfOutput
ErrorKMeansNumberOfClustersIsTooLarge = ... |
Number of clusters exceeds the number of points
ErrorLCNinnerConvolution = ... |
Error in convolution 2d layer
ErrorLeapfrogUnsupported = ... |
Leapfrog method is not supported by generator
ErrorLinearRegressionInternal = ... |
Linear Regression internal error
ErrorLinRegXtXInvFailed = ... |
Failed to invert Xt*X matrix
ErrorLowerBoundGreaterThanOrEqualToUpperBound = ... |
Lower bound parameter greater than or equal to upper bound
ErrorLowOrderMomentsInternal = ... |
Low Order Moments internal error
ErrorLzoDataFormat = ... |
Input compressed stream is in wrong format or corrupted
ErrorLzoDataFormatLessThenHeader = ... |
Size of input compressed stream is less then
ErrorLzoDataFormatNotFullBlock = ... |
Input compressed stream contains not a whole
ErrorLzoInternal = ... |
LZO internal error
ErrorLzoOutputStreamSizeIsNotEnough = ... |
Size of output stream is not enough to start compression
ErrorMeanAndStandardDeviationComputing = ... |
Computation of mean and standard deviation failed
ErrorMemoryAllocationFailed = ... |
Memory allocation failed
ErrorMemoryCopyFailedInternal = ... |
Memory copy internal error
ErrorMethodNotImplemented = ... |
Method is not implemented in the present library version
ErrorMethodNotSupported = ... |
Method not supported by the algorithm
ErrorMinAndMaxComputing = ... |
Computation of minimum and maximum failed
ErrorModelNotFullInitialized = ... |
Model is not full initialized
ErrorMultiClassFailedToComputeTwoClassPrediction = ... |
Failed to compute prediction based on two-class classifier model
ErrorMultiClassFailedToTrainTwoClassClassifier = ... |
Failed to train a model of two-class classifier
ErrorMultiClassNullTwoClassTraining = ... |
Null two-class classifier training algorithm is not supported
ErrorNaiveBayesIncorrectModel = ... |
Naive Bayes: Input model is not consistent with the number of classes
ErrorNegativeLearningRate = ... |
Negative learning rate
ErrorNeuralNetworkLayerCall = ... |
Error in neural network layer call
ErrorNormEqSystemSolutionFailed = ... |
Failed to solve the system of normal equations
ErrorNullAuxiliaryAlgorithm = ... |
Null auxiliary algorithm
ErrorNullAuxiliaryDataCollection = ... |
Null auxiliary data collection
ErrorNullByteInjection = ... |
Error null byte injection
ErrorNullInitializationProcedure = ... |
Null initialization procedure
ErrorNullInput = ... |
Input not set
ErrorNullInputDataCollection = ... |
Null input data collection is not supported
ErrorNullInputNumericTable = ... |
Null input numeric table is not supported
ErrorNullLayerData = ... |
Null layer data is not supported
ErrorNullModel = ... |
Null model is not supported
ErrorNullNumericTable = ... |
Null numeric table is not supported
ErrorNullOptionalResult = ... |
Null optional result
ErrorNullOutputDataCollection = ... |
Null output data collection is not supported
ErrorNullOutputNumericTable = ... |
Null output numeric table is not supported
ErrorNullParameterNotSupported = ... |
Null parameter is not supported by the algorithm
ErrorNullPartialModel = ... |
Null partial model is not supported
ErrorNullPartialResult = ... |
Partial result not set
ErrorNullPartialResultDataCollection = ... |
Null partial result data collection
ErrorNullPtr = ... |
Null pointer in input arguments
ErrorNullResult = ... |
Result not set
ErrorNullTensor = ... |
Null tensor is not supported
ErrorNullVariance = ... |
Failed to normalize data in column: it has null variance deviation
ErrorNumericTableAlreadyAllocated = ... |
Numeric Table was already allocated
ErrorNumericTableIsNotSquare = ... |
Numeric table is not square
ErrorNumericTableNotAllocated = ... |
Numeric Table is not allocated
ErrorNumericTableNotAvailable = ... |
Numeric Table is not available
ErrorObjectDoesNotSupportSerialization = ... |
SerializationIface is not implemented or implemented incorrectly
ErrorODBC = ... |
ErrorODBC
ErrorOnFileOpen = ... |
Error on file open
ErrorOnFileRead = ... |
Error on file read
ErrorOutlierDetectionInternal = ... |
Outlier Detection internal error
ErrorPCACorrelationInputDataTypeSupportsOfflineModeOnly = ... |
This type of the input data supports
ErrorPCAFailedToComputeCorrelationEigenvalues = ... |
Failed to compute eigenvalues of the correlation matrix
ErrorPivotedQRInternal = ... |
Pivoted QR internal error
ErrorPrecomputedMaxNotAvailable = ... |
Precomputed maximum values are not available
ErrorPrecomputedMinNotAvailable = ... |
Precomputed minimum values are not available
ErrorPrecomputedStatisticsIndexOutOfRange = ... |
Precomputed statistics index is out of range
ErrorPrecomputedSumNotAvailable = ... |
Precomputed sums are not available
ErrorQRInternal = ... |
QR internal error
ErrorQrIthParamIllegalValue = ... |
QR internal error
ErrorQrXBDSQRDidNotConverge = ... |
QR internal error
ErrorQuantileOrderValueIsInvalid = ... |
Quantile order value is invalid
ErrorQuantilesInternal = ... |
Quantile internal error
ErrorRidgeRegressionInternal = ... |
Ridge Regression internal error
ErrorRidgeRegressionInvertFailed = ... |
Failed to invert matrix
ErrorRidgeRegressionNormEqSystemSolutionFailed = ... |
Failed to solve the system of normal equations
ErrorRleDataFormat = ... |
Input compressed stream is in wrong format or corrupted
ErrorRleDataFormatLessThenHeader = ... |
Size of input compressed stream is less then
ErrorRleDataFormatNotFullBlock = ... |
Input compressed stream contains not a whole
ErrorRleInternal = ... |
RLE internal error
ErrorRleOutputStreamSizeIsNotEnough = ... |
Size of output stream is not enough to start compression
ErrorServiceMicroTableInternal = ... |
Numeric Table internal error
ErrorSignificanceLevel = ... |
Incorrect significance level value
ErrorSkipAheadUnsupported = ... |
SkipAhead method is not supported by generator
ErrorSorting = ... |
Cannot sort the numeric table
ErrorSourceDataNotAvailable = ... |
Source data is not available
ErrorSplitLayerBackward = ... |
Error in split layer backward
ErrorSQLstmtHandle = ... |
ErrorSQLstmtHandle
ErrorStumpIncorrectSplitFeature = ... |
Incorrect split feature
ErrorStumpInvalidInputCategoricalData = ... |
Invalid stump training data: all features in the input table are categorical
ErrorSvdIthParamIllegalValue = ... |
SVD internal error
ErrorSvdXBDSQRDidNotConverge = ... |
SVD internal error
ErrorSVMPredictKernerFunctionCall = ... |
SVM predict: error in kernel function call. Details are as follows.
ErrorUndefinedFeature = ... |
Dictionary contains a undefined feature
ErrorUnsupportedCSRIndexing = ... |
CSR Numeric Table has unsupported indexing type
ErrorUserAllocatedMemory = ... |
Couldn't free memory allocated by user
ErrorUserCancelled = ... |
Computation cancelled at user's request
ErrorVarianceComputation = ... |
Error during variance computation
ErrorZeroNumberOfTerms = ... |
Number of terms can not be zero
ErrorZlibDataFormat = ... |
Input compressed stream is in wrong format,
ErrorZlibInternal = ... |
Zlib internal error
ErrorZlibMemoryAllocationFailed = ... |
Internal Zlib memory allocation failed
ErrorZlibNeedDictionary = ... |
Specific dictionary is needed for decompression,
ErrorZlibParameters = ... |
Unsupported Zlib parameters
ExpectedValue = ... |
Detail about expected value
Iteration = ... |
Detail about iteration number
Layer = ... |
Detail about neural network layer
Method = ... |
Detail about method
Minor = ... |
Detail about order of matrix minor
|
static |
Multi-threaded mode
NoErrorMessageDetailFound = ... |
No error message detail found
NoErrorMessageFound = ... |
No error message found
OptionalInput = ... |
Detail about optional input name
OptionalResult = ... |
Detail about optional result name
ParameterName = ... |
Detail about parameter name
Rank = ... |
Detail about rank
Row = ... |
Detail about row
SerializationTag = ... |
Detail about serialization tag
|
static |
Single-threaded mode
sse2 = ... |
Intel(R) Streaming SIMD Extensions 2 (Intel(R) SSE2)
sse42 = ... |
Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2)
ssse3 = ... |
Supplemental Streaming SIMD Extensions 3 (SSSE3)
StatisticsName = ... |
Detail about statistics name function
UnknownError = ... |
Unknown error
For more complete information about compiler optimizations, see our Optimization Notice.