Python* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
Class that provides methods to access a packed triangular matrix stored as a one-dimensional array. More...
Additional Inherited Members | |
Static Public Attributes inherited from NumericTable | |
| basicStatistics = ... | |
Static Public Attributes inherited from NumericTableIface | |
| notAllocated = ... | |
| userAllocated = ... | |
| internallyAllocated = ... | |
| doNotAllocate = ... | |
| notAllocate = ... | |
| doAllocate = ... | |
| minimum = ... | |
| maximum = ... | |
| sum = ... | |
| sumSquares = ... | |
| counters = ... | |
| nonNormalized = ... | |
| standardScoreNormalized = ... | |
| minMaxNormalized = ... | |
| DataType | Defines the underlying data type that describes the packed triangular matrix |
PackedTriangularMatrix_UpperPackedTriangularMatrixFloat64 is an alias of PackedTriangularMatrix(packedLayout=daal.data_management.interface1.NumericTableIface.upperPackedTriangularMatrix, ntype=float64)PackedTriangularMatrix_UpperPackedTriangularMatrixFloat32 is an alias of PackedTriangularMatrix(packedLayout=daal.data_management.interface1.NumericTableIface.upperPackedTriangularMatrix, ntype=float32)PackedTriangularMatrix_UpperPackedTriangularMatrixIntc is an alias of PackedTriangularMatrix(packedLayout=daal.data_management.interface1.NumericTableIface.upperPackedTriangularMatrix, ntype=intc)PackedTriangularMatrix_LowerPackedTriangularMatrixFloat64 is an alias of PackedTriangularMatrix(packedLayout=daal.data_management.interface1.NumericTableIface.lowerPackedTriangularMatrix, ntype=float64)PackedTriangularMatrix_LowerPackedTriangularMatrixFloat32 is an alias of PackedTriangularMatrix(packedLayout=daal.data_management.interface1.NumericTableIface.lowerPackedTriangularMatrix, ntype=float32)PackedTriangularMatrix_LowerPackedTriangularMatrixIntc is an alias of PackedTriangularMatrix(packedLayout=daal.data_management.interface1.NumericTableIface.lowerPackedTriangularMatrix, ntype=intc) For more complete information about compiler optimizations, see our Optimization Notice.