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

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Training Class Reference

Provides methods to train models that depend on the data provided. More...

Additional Inherited Members

- Public Member Functions inherited from AlgorithmImpl
def computeNoThrow
 
def compute
 
def checkComputeParams
 
def checkResult
 
def setupCompute
 
def resetCompute
 
def enableResetOnCompute
 
def hostApp
 
def setHostApp
 
- Public Member Functions inherited from Algorithm
def checkComputeParams
 
def getBaseParameter
 
- Public Member Functions inherited from AlgorithmIfaceImpl
def enableChecks
 
def isChecksEnabled
 
- Public Member Functions inherited from AlgorithmIface
def checkComputeParams
 
def checkResult
 
def getMethod
 

Detailed Description

For example, these methods enable training the linear regression model. The methods of the class support different computation modes: batch, distributed, and online(see ComputeMode). Classes that implement specific algorithms of model training are derived classes of the Training class. The class additionally provides methods for validation of input and output parameters of the algorithms.

Parameters
modeComputation mode of the algorithm, ComputeMode
Aliases

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

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