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

Public Member Functions | List of all members
AOSNumericTable Class Reference

Class that provides methods to access data stored as a numpy structured array. More...

Public Member Functions

def __init__
 
def getSerializationTag
 
def getBlockOfRows
 
def releaseBlockOfRows
 
def getBlockOfColumnValues
 
def releaseBlockOfColumnValues
 
def allocateDataMemory
 
def freeDataMemory
 
- Public Member Functions inherited from NumericTable
def setDictionary
 
def getDictionary
 
def resetDictionary
 
def resize
 
def getNumberOfColumns
 
def getNumberOfRows
 
def setNumberOfColumns
 
def setNumberOfRows
 
def allocateDataMemory
 
def freeDataMemory
 
def getDataLayout
 
def getFeatureType
 
def getNumberOfCategories
 
def getDataMemoryStatus
 
def isNormalized
 
def setNormalizationFlag
 
def allocateBasicStatistics
 
def check
 
def assign
 
def getValue_{Float64|Float32|Intc}
 
- Public Member Functions inherited from SerializationIface
def serialize
 
def deserialize
 
def getSerializationTag
 
- Public Member Functions inherited from Base
def __init__
 
- Public Member Functions inherited from NumericTableIface
def setDictionary
 
def getDictionary
 
def resetDictionary
 
def getFeatureType
 
def getNumberOfCategories
 
def getDataLayout
 
def resize
 
def setNumberOfColumns
 
def setNumberOfRows
 
def allocateDataMemory
 
def freeDataMemory
 
def allocateBasicStatistics
 
def check
 
- Public Member Functions inherited from DenseNumericTableIface
def getBlockOfRows
 
def releaseBlockOfRows
 
def getBlockOfColumnValues
 
def releaseBlockOfColumnValues
 
def getBlockOfRowsAsDouble
 
def getBlockOfColumnValuesAsDouble
 
def getBlockOfRowsAsFloat
 
def getBlockOfColumnValuesAsFloat
 
def getBlockOfRowsAsInt
 
def getBlockOfColumnValuesAsInt
 

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 = ...
 

Detailed Description

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.


The documentation for this class was generated from the following file:

For more complete information about compiler optimizations, see our Optimization Notice.