Python* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
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 = ... | |
Static Public Attributes inherited from Parameter | |
| splitMethod = ... | |
| maxIterations = ... | |
| maxTreeDepth = ... | |
| shrinkage = ... | |
| minSplitLoss = ... | |
| observationsPerTreeFraction = ... | |
| featuresPerNode = ... | |
| minObservationsInLeafNode = ... | |
| memorySavingMode = ... | |
| engine = ... | |
| maxBins = ... | |
| minBinSize = ... | |
| internalOptions = ... | |
| def __init__ | ( | self | ) |
__init__(daal.algorithms.gbt.regression.training.Parameter self) -> Parameter
| def check | ( | self | ) |
check(Parameter self) -> Status
|
static |
Loss function type
For more complete information about compiler optimizations, see our Optimization Notice.