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

Public Member Functions | Static Public Attributes | List of all members
Parameter Class Reference

Parameters for the gradient boosted trees algorithm. More...

Public Member Functions

def __init__
 
def check
 
- Public Member Functions inherited from Parameter
def __init__
 
def check
 
- Public Member Functions inherited from Parameter
def __init__
 

Static Public Attributes

 loss = ...
 
 varImportance = ...
 
- Static Public Attributes inherited from Parameter
 splitMethod = ...
 
 maxIterations = ...
 
 maxTreeDepth = ...
 
 shrinkage = ...
 
 minSplitLoss = ...
 
 observationsPerTreeFraction = ...
 
 featuresPerNode = ...
 
 minObservationsInLeafNode = ...
 
 memorySavingMode = ...
 
 engine = ...
 
 maxBins = ...
 
 minBinSize = ...
 
 internalOptions = ...
 

Detailed Description

Constructor & Destructor Documentation

def __init__ (   self)

Member Function Documentation

def check (   self)

check(Parameter self) -> Status

Member Data Documentation

loss = ...
static

Loss function type

varImportance = ...
static

64 bit integer flag VariableImportanceModes that indicates the variable importance computation modes


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

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