Python* API Reference for Intel® Data Analytics Acceleration Library 2019
Class that provides methods to access data stored as a numpy structured 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 = ... | |
E.g. as an array of heterogeneous feature vectors, while each feature vector is represented by a python tuple. Therefore, the data is represented as a 1-dimensional numpy array of structures.
For more complete information about compiler optimizations, see our Optimization Notice.