Python* API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1

Classes | Functions | Variables
Extracting Version Information

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__
 

Variables

 NoErrorMessageDetailFound = ...
 
 Row = ...
 
 Column = ...
 
 Rank = ...
 
 StatisticsName = ...
 
 Method = ...
 
 Iteration = ...
 
 Component = ...
 
 Minor = ...
 
 ArgumentName = ...
 
 ElementInCollection = ...
 
 Dimension = ...
 
 ParameterName = ...
 
 OptionalInput = ...
 
 OptionalResult = ...
 
 Layer = ...
 
 SerializationTag = ...
 
 ExpectedValue = ...
 
 ActualValue = ...
 
 ErrorMethodNotSupported = ...
 
 ErrorIncorrectNumberOfFeatures = ...
 
 ErrorIncorrectNumberOfObservations = ...
 
 ErrorIncorrectSizeOfArray = ...
 
 ErrorNullParameterNotSupported = ...
 
 ErrorIncorrectNumberOfArguments = ...
 
 ErrorIncorrectInputNumericTable = ...
 
 ErrorEmptyInputNumericTable = ...
 
 ErrorIncorrectDataRange = ...
 
 ErrorPrecomputedStatisticsIndexOutOfRange = ...
 
 ErrorIncorrectNumberOfInputNumericTables = ...
 
 ErrorIncorrectNumberOfOutputNumericTables = ...
 
 ErrorNullInputNumericTable = ...
 
 ErrorNullOutputNumericTable = ...
 
 ErrorNullModel = ...
 
 ErrorInconsistentNumberOfRows = ...
 
 ErrorIncorrectSizeOfInputNumericTable = ...
 
 ErrorIncorrectSizeOfOutputNumericTable = ...
 
 ErrorIncorrectNumberOfRowsInInputNumericTable = ...
 
 ErrorIncorrectNumberOfColumnsInInputNumericTable = ...
 
 ErrorIncorrectNumberOfRowsInOutputNumericTable = ...
 
 ErrorIncorrectNumberOfColumnsInOutputNumericTable = ...
 
 ErrorIncorrectTypeOfInputNumericTable = ...
 
 ErrorIncorrectTypeOfOutputNumericTable = ...
 
 ErrorIncorrectNumberOfElementsInInputCollection = ...
 
 ErrorIncorrectNumberOfElementsInResultCollection = ...
 
 ErrorNullInput = ...
 
 ErrorNullResult = ...
 
 ErrorIncorrectParameter = ...
 
 ErrorModelNotFullInitialized = ...
 
 ErrorInconsistentNumberOfColumns = ...
 
 ErrorIncorrectIndex = ...
 
 ErrorDataArchiveInternal = ...
 
 ErrorNullPartialModel = ...
 
 ErrorNullInputDataCollection = ...
 
 ErrorNullOutputDataCollection = ...
 
 ErrorNullPartialResult = ...
 
 ErrorIncorrectNumberOfInputNumericTensors = ...
 
 ErrorIncorrectNumberOfOutputNumericTensors = ...
 
 ErrorNullTensor = ...
 
 ErrorIncorrectNumberOfDimensionsInTensor = ...
 
 ErrorIncorrectSizeOfDimensionInTensor = ...
 
 ErrorNullLayerData = ...
 
 ErrorIncorrectSizeOfLayerData = ...
 
 ErrorNullNumericTable = ...
 
 ErrorIncorrectNumberOfColumns = ...
 
 ErrorIncorrectNumberOfRows = ...
 
 ErrorIncorrectTypeOfNumericTable = ...
 
 ErrorUnsupportedCSRIndexing = ...
 
 ErrorSignificanceLevel = ...
 
 ErrorAccuracyThreshold = ...
 
 ErrorIncorrectNumberOfBetas = ...
 
 ErrorIncorrectNumberOfBetasInReducedModel = ...
 
 ErrorNumericTableIsNotSquare = ...
 
 ErrorNullAuxiliaryAlgorithm = ...
 
 ErrorNullInitializationProcedure = ...
 
 ErrorNullAuxiliaryDataCollection = ...
 
 ErrorEmptyAuxiliaryDataCollection = ...
 
 ErrorIncorrectElementInCollection = ...
 
 ErrorNullPartialResultDataCollection = ...
 
 ErrorIncorrectElementInPartialResultCollection = ...
 
 ErrorIncorrectElementInNumericTableCollection = ...
 
 ErrorNullOptionalResult = ...
 
 ErrorIncorrectOptionalResult = ...
 
 ErrorIncorrectOptionalInput = ...
 
 ErrorIncorrectNumberOfPartialClusters = ...
 
 ErrorIncorrectTotalNumberOfPartialClusters = ...
 
 ErrorIncorrectDataCollectionSize = ...
 
 ErrorIncorrectValueInTheNumericTable = ...
 
 ErrorIncorrectItemInDataCollection = ...
 
 ErrorNullPtr = ...
 
 ErrorUndefinedFeature = ...
 
 ErrorCloneMethodFailed = ...
 
 ErrorDataTypeNotSupported = ...
 
 ErrorBufferSizeIntegerOverflow = ...
 
 ErrorCpuIsInvalid = ...
 
 ErrorCpuNotSupported = ...
 
 ErrorMemoryAllocationFailed = ...
 
 ErrorEmptyDataBlock = ...
 
 ErrorMemoryCopyFailedInternal = ...
 
 ErrorIncorrectCombinationOfComputationModeAndStep = ...
 
 ErrorDictionaryAlreadyAvailable = ...
 
 ErrorDictionaryNotAvailable = ...
 
 ErrorNumericTableNotAvailable = ...
 
 ErrorNumericTableAlreadyAllocated = ...
 
 ErrorNumericTableNotAllocated = ...
 
 ErrorPrecomputedSumNotAvailable = ...
 
 ErrorPrecomputedMinNotAvailable = ...
 
 ErrorPrecomputedMaxNotAvailable = ...
 
 ErrorServiceMicroTableInternal = ...
 
 ErrorEmptyCSRNumericTable = ...
 
 ErrorEmptyHomogenNumericTable = ...
 
 ErrorSourceDataNotAvailable = ...
 
 ErrorEmptyDataSource = ...
 
 ErrorIncorrectClassLabels = ...
 
 ErrorIncorrectSizeOfModel = ...
 
 ErrorIncorrectTypeOfModel = ...
 
 ErrorIncorrectErrorcodeFromGenerator = ...
 
 ErrorLeapfrogUnsupported = ...
 
 ErrorSkipAheadUnsupported = ...
 
 ErrorFeatureNamesNotAvailable = ...
 
 ErrorInputSigmaMatrixHasNonPositiveMinor = ...
 
 ErrorInputSigmaMatrixHasIllegalValue = ...
 
 ErrorIncorrectInternalFunctionParameter = ...
 
 ErrorUserCancelled = ...
 
 ErrorAprioriIncorrectItemsetTableSize = ...
 
 ErrorAprioriIncorrectSupportTableSize = ...
 
 ErrorAprioriIncorrectLeftRuleTableSize = ...
 
 ErrorAprioriIncorrectRightRuleTableSize = ...
 
 ErrorAprioriIncorrectConfidenceTableSize = ...
 
 ErrorAprioriIncorrectInputData = ...
 
 ErrorInconsistentNumberOfClasses = ...
 
 ErrorCholeskyInternal = ...
 
 ErrorInputMatrixHasNonPositiveMinor = ...
 
 ErrorCovarianceInternal = ...
 
 ErrorEMMatrixInverse = ...
 
 ErrorEMIncorrectToleranceToConverge = ...
 
 ErrorEMIllConditionedCovarianceMatrix = ...
 
 ErrorEMIncorrectMaxNumberOfIterations = ...
 
 ErrorEMNegativeDefinedCovarianceMartix = ...
 
 ErrorEMEmptyComponent = ...
 
 ErrorEMCovariance = ...
 
 ErrorEMIncorrectNumberOfComponents = ...
 
 ErrorEMInitNoTrialConverges = ...
 
 ErrorEMInitIncorrectToleranceToConverge = ...
 
 ErrorEMInitIncorrectDepthNumberIterations = ...
 
 ErrorEMInitIncorrectNumberOfTrials = ...
 
 ErrorEMInitIncorrectNumberOfComponents = ...
 
 ErrorEMInitInconsistentNumberOfComponents = ...
 
 ErrorVarianceComputation = ...
 
 ErrorKMeansNumberOfClustersIsTooLarge = ...
 
 ErrorLinearRegressionInternal = ...
 
 ErrorNormEqSystemSolutionFailed = ...
 
 ErrorLinRegXtXInvFailed = ...
 
 ErrorLowOrderMomentsInternal = ...
 
 ErrorIncorrectNumberOfClasses = ...
 
 ErrorMultiClassNullTwoClassTraining = ...
 
 ErrorMultiClassFailedToTrainTwoClassClassifier = ...
 
 ErrorMultiClassFailedToComputeTwoClassPrediction = ...
 
 ErrorEmptyInputCollection = ...
 
 ErrorNaiveBayesIncorrectModel = ...
 
 ErrorOutlierDetectionInternal = ...
 
 ErrorPCAFailedToComputeCorrelationEigenvalues = ...
 
 ErrorPCACorrelationInputDataTypeSupportsOfflineModeOnly = ...
 
 ErrorIncorrectCrossProductTableSize = ...
 
 ErrorCrossProductTableIsNotSquare = ...
 
 ErrorInputCorrelationNotSupportedInOnlineAndDistributed = ...
 
 ErrorIncorrectNComponents = ...
 
 ErrorQRInternal = ...
 
 ErrorQrIthParamIllegalValue = ...
 
 ErrorQrXBDSQRDidNotConverge = ...
 
 ErrorStumpIncorrectSplitFeature = ...
 
 ErrorStumpInvalidInputCategoricalData = ...
 
 ErrorSvdIthParamIllegalValue = ...
 
 ErrorSvdXBDSQRDidNotConverge = ...
 
 ErrorLCNinnerConvolution = ...
 
 ErrorSVMPredictKernerFunctionCall = ...
 
 ErrorIncorrectWeakLearnerClassificationAlgorithm = ...
 
 ErrorIncorrectWeakLearnerRegressionAlgorithm = ...
 
 ErrorIncorrectWeakLearnerClassificationModel = ...
 
 ErrorIncorrectWeakLearnerRegressionModel = ...
 
 ErrorCompressionNullInputStream = ...
 
 ErrorCompressionNullOutputStream = ...
 
 ErrorCompressionEmptyInputStream = ...
 
 ErrorCompressionEmptyOutputStream = ...
 
 ErrorZlibInternal = ...
 
 ErrorZlibDataFormat = ...
 
 ErrorZlibParameters = ...
 
 ErrorZlibMemoryAllocationFailed = ...
 
 ErrorZlibNeedDictionary = ...
 
 ErrorBzip2Internal = ...
 
 ErrorBzip2DataFormat = ...
 
 ErrorBzip2Parameters = ...
 
 ErrorBzip2MemoryAllocationFailed = ...
 
 ErrorLzoInternal = ...
 
 ErrorLzoOutputStreamSizeIsNotEnough = ...
 
 ErrorLzoDataFormat = ...
 
 ErrorLzoDataFormatLessThenHeader = ...
 
 ErrorLzoDataFormatNotFullBlock = ...
 
 ErrorRleInternal = ...
 
 ErrorRleOutputStreamSizeIsNotEnough = ...
 
 ErrorRleDataFormat = ...
 
 ErrorRleDataFormatLessThenHeader = ...
 
 ErrorRleDataFormatNotFullBlock = ...
 
 ErrorLowerBoundGreaterThanOrEqualToUpperBound = ...
 
 ErrorQuantileOrderValueIsInvalid = ...
 
 ErrorQuantilesInternal = ...
 
 ErrorALSInternal = ...
 
 ErrorALSInconsistentSparseDataBlocks = ...
 
 ErrorSorting = ...
 
 ErrorNegativeLearningRate = ...
 
 ErrorMeanAndStandardDeviationComputing = ...
 
 ErrorNullVariance = ...
 
 ErrorMinAndMaxComputing = ...
 
 ErrorZeroNumberOfTerms = ...
 
 ErrorConvolutionInternal = ...
 
 ErrorIncorrectKernelSise1 = ...
 
 ErrorIncorrectKernelSise2 = ...
 
 ErrorRidgeRegressionInternal = ...
 
 ErrorRidgeRegressionNormEqSystemSolutionFailed = ...
 
 ErrorRidgeRegressionInvertFailed = ...
 
 ErrorInconsistenceModelAndBatchSizeInParameter = ...
 
 ErrorNeuralNetworkLayerCall = ...
 
 ErrorSplitLayerBackward = ...
 
 ErrorPivotedQRInternal = ...
 
 ErrorDFBootstrapVarImportanceIncompatible = ...
 
 ErrorDFBootstrapOOBIncompatible = ...
 
 ErrorGbtIncorrectNumberOfTrees = ...
 
 ErrorGbtPredictIncorrectNumberOfIterations = ...
 
 ErrorUserAllocatedMemory = ...
 
 ErrorDataSourseNotAvailable = ...
 
 ErrorHandlesSQL = ...
 
 ErrorODBC = ...
 
 ErrorSQLstmtHandle = ...
 
 ErrorOnFileOpen = ...
 
 ErrorOnFileRead = ...
 
 ErrorNullByteInjection = ...
 
 ErrorKDBNoConnection = ...
 
 ErrorKDBWrongCredentials = ...
 
 ErrorKDBNetworkError = ...
 
 ErrorKDBServerError = ...
 
 ErrorKDBTypeUnsupported = ...
 
 ErrorKDBWrongTypeOfOutput = ...
 
 ErrorIncorrectEngineParameter = ...
 
 ErrorEmptyInputAlgorithmsCollection = ...
 
 ErrorObjectDoesNotSupportSerialization = ...
 
 ErrorCouldntAttachCurrentThreadToJavaVM = ...
 
 ErrorCouldntCreateGlobalReferenceToJavaObject = ...
 
 ErrorCouldntFindJavaMethod = ...
 
 ErrorCouldntFindClassForJavaObject = ...
 
 ErrorCouldntDetachCurrentThreadFromJavaVM = ...
 
 UnknownError = ...
 
 NoErrorMessageFound = ...
 
 ErrorMethodNotImplemented = ...
 
 ErrorIncorrectOffset = ...
 
 ErrorIterativeSolverIncorrectMaxNumberOfIterations = ...
 
 ErrorIncorrectNumberOfTerms = ...
 
 ErrorIncorrectNumberOfNodes = ...
 
 sse2 = ...
 
 ssse3 = ...
 
 sse42 = ...
 
 avx = ...
 
 avx2 = ...
 
 avx512_mic = ...
 
 avx512 = ...
 
 avx512_mic_e1 = ...
 
 cpu_default = ...
 
 avx512_mic = ...
 
 avx512 = ...
 
 avx512_mic_e1 = ...
 
 MultiThreaded = ...
 
 SingleThreaded = ...
 
def Exception_getException
 
def Error_create
 

Detailed Description

Provides information about the version of Intel(R) Data Analytics Acceleration Library.

Function Documentation

def __getitem__ (   self,
  i 
)

read operator []

def __init__ (   self,
  description 
)

Constructs an exception with a description

Parameters
descriptionDescription of the exception
def __init__ (   self,
  args 
)

Variant 1

Constructs an error from an identifier

Parameters
idIdentifier of the error

Variant 2

Copy constructor. Constructs an error from a copy of the content of another error

Parameters
eAnother error to be used as a source with which to initialize the contents of this error
def __init__ (   self,
  args 
)

Variant 1

Constructs a kernel error collection


Variant 2

Copy constructor of a kernel error collection

Parameters
otherKernel error collection that will be copied
def __init__ (   self,
  args 
)

Variant 1

Default constructor. Sets the size and capacity to 0.


Variant 2

Constructor. Creates a collection with n empty elements

Parameters
nNumber of elements

Variant 3

Constructor. Creates a collection from the array

Parameters
nNumber of elements
arrayArray with elements

Variant 4

Copy constructor

Parameters
otherCopied collection
def __lshift__ (   self,
  x 
)

Adds an element to the end of a collection

Parameters
xElement to add
def __setitem__ (   self,
  i,
  v 
)

write operator []

def add (   self,
  args 
)

Variant 1

Adds error id to kernel error collection

Parameters
idIdentifier of error
Returns
Pointer to the new error

Variant 2

Adds error to kernel error collection

Parameters
eError to be added to kernel error collection

Variant 3

Adds error kernel collection

Parameters
eError collection that will be added

Variant 4

Adds error kernel collection

Parameters
eError collection that will be added
def addDoubleDetail (   self,
  id,
  value 
)

Adds a floating-point detail into a collection of details associated with this error

Parameters
idIdentifier of the detail
valueValue of the detail
Returns
Reference to this object
def addIntDetail (   self,
  id,
  value 
)

Adds an integer detail into a collection of details associated with this error

Parameters
idIdentifier of the detail
valueValue of the detail
Returns
Reference to this object
def addStringDetail (   self,
  id,
  value 
)

Adds a string detail into a collection of details associated with this error

Parameters
idIdentifier of the detail
valueValue of the detail
Returns
Reference to this object
def at (   self,
  args 
)

Variant 1

Element access

Parameters
indexIndex of an accessed element
Returns
Pointer to the element

Variant 2

Element access

Parameters
indexIndex of an accessed element
Returns
Pointer to the element
def capacity (   self)

Size of an allocated storage

Returns
Size of the 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 
)

Variant 1

Returns pointer to the underlying array serving as element storage

Returns
Pointer to the array

Variant 2

Returns const pointer to the underlying array serving as element storage

Returns
Const pointer to the array
def description (   self)

Returns the word description of the error

Returns
Description of the error
def details (   self)

Access to error details list

Returns
pointer to the top of error details list
def enableInstructionsSet (   self,
  enable 
)

Enable dispatching for new Intel(R) architectures

Parameters
enableAn enabling flag
Returns
CPU ID
Deprecated:
This item will be removed in a future release.
def enableThreadPinning (   self,
  enableThreadPinningFlag = True 
)

Enables thread pinning

Parameters
enableThreadPinningFlagFlag to thread pinning enable
def daal.services.Environment_freeInstance ( )

Decreases the instance counter

Returns
The return code
Deprecated:
This item will be removed in a future release.
def daal.services.Environment_getInstance ( )

Returns the environment instance

Returns
The environment instance
def erase (   self,
  pos 
)

Erase an element from a position

Parameters
posPosition 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)

Variant 1

Returns exception with description

Returns
Exception with description

Variant 2

Returns exception with description

Returns
Exception with description
def freeInstance ( )

Decreases the instance counter

Returns
The return code
Deprecated:
This item will be removed in a future release.
def get (   self,
  args 
)

Variant 1

Element access

Parameters
indexIndex of an accessed element
Returns
Reference to the element

Variant 2

Const element access

Parameters
indexIndex of an accessed element
Returns
Reference to the element
def getCpuId (   self,
  args 
)

Detects the processor type

Parameters
enableAn enabling flag
Deprecated:
This item will be removed in a future release.
Returns
The CPU ID
def getDescription (   self)

Returns description of all errors from collection

Returns
Description of all errors from collection
def getException (   args)

Variant 1

Returns exception with description

Returns
Exception with description

Variant 2

Returns exception with description

Returns
Exception with description
def getInstance ( )

Returns the environment instance

Returns
The environment instance
def getNumberOfThreads (   self)

Returns the number of used threads

Returns
The number of used threads
def id (   self)

Returns a description of the error

Returns
Identifier of this error
def insert (   self,
  args 
)

Variant 1

Insert an element into a position

Parameters
posPosition to set
xElement to set

Variant 2

Insert a collection to another collection into a position

Parameters
posPosition to see
otherCollection to set
def isEmpty (   self)

Returns true if kernel error collection is empty

Returns
True if kernel error collection is empty
def push_back (   self,
  x 
)

Adds an element to the end of a collection

Parameters
xElement to add
def resize (   self,
  newCapacity 
)

Changes the size of a storage

Parameters
newCapacitySize of a new storage.
def safe_push_back (   self,
  x 
)

Adds an element to the end of a collection

Parameters
xThe element to add
Returns
True if the element was successfully added
def setCpuId (   self,
  cpuid 
)

Restrict dispatching to the required code path

Parameters
cpuidCPU ID
Returns
CPU ID if success; ErrorCpuInvalid if cpuid value is out of CpuType enum
def setDynamicLibraryThreadingTypeOnWindows (   self,
  type 
)

Sets the threading mode on Windows*

Parameters
typeThe threading mode of the library
def setId (   self,
  id 
)

Sets an identifier of the error

Parameters
idIdentifier of the error
def setMemoryLimit (   self,
  type,
  limit 
)

Limits the amount of memory of the given type available to internal function calls

Parameters
typeMemory type
limitLimit in megabytes
def setNumberOfThreads (   self,
  numThreads 
)

Sets the number of threads to use

Parameters
numThreadsThe number of threads
def size (   self)

Size of a collection

Returns
Size of the collection
def size (   self)

Size of a collection

Returns
Size of the collection
def daal.services.throwIfPossible (   s)

throwIfPossible(Status s) -> Status

def what (   self)

Return description of the exception

Returns
Description of the exception

Variable Documentation

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)

avx512 = ...
static

Intel(R) Xeon(R) processors based on Intel(R) Advanced Vector Extensions 512 (Intel(R) AVX-512)

Deprecated:
This item will be removed in a future release.
avx512_mic = ...

Intel(R) Xeon Phi(TM) processors/coprocessors based on Intel(R) Advanced Vector Extensions 512 (Intel(R) AVX-512)

avx512_mic = ...
static

Intel(R) Xeon Phi(TM) processors/coprocessors based on Intel(R) Advanced Vector Extensions 512 (Intel(R) AVX-512)

Deprecated:
This item will be removed in a future release.
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.

avx512_mic_e1 = ...
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

cpu_default = ...
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

MultiThreaded = ...
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

SingleThreaded = ...
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.