TableParameterSubspace Class
Definition
Important
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The TableParameterSubspace.
public class TableParameterSubspace
type TableParameterSubspace = class
Public Class TableParameterSubspace
- Inheritance
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TableParameterSubspace
Constructors
TableParameterSubspace() |
Initializes a new instance of TableParameterSubspace. |
Properties
Booster |
Specify the boosting type, e.g gbdt for XGBoost. |
BoostingType |
Specify the boosting type, e.g gbdt for LightGBM. |
GrowPolicy |
Specify the grow policy, which controls the way new nodes are added to the tree. |
LearningRate |
The learning rate for the training procedure. |
MaxBin |
Specify the Maximum number of discrete bins to bucket continuous features . |
MaxDepth |
Specify the max depth to limit the tree depth explicitly. |
MaxLeaves |
Specify the max leaves to limit the tree leaves explicitly. |
MinDataInLeaf |
The minimum number of data per leaf. |
MinSplitGain |
Minimum loss reduction required to make a further partition on a leaf node of the tree. |
ModelName |
The name of the model to train. |
NEstimators |
Specify the number of trees (or rounds) in an model. |
NumLeaves |
Specify the number of leaves. |
PreprocessorName |
The name of the preprocessor to use. |
RegAlpha |
L1 regularization term on weights. |
RegLambda |
L2 regularization term on weights. |
Subsample |
Subsample ratio of the training instance. |
SubsampleFreq |
Frequency of subsample. |
TreeMethod |
Specify the tree method. |
WithMean |
If true, center before scaling the data with StandardScalar. |
WithStd |
If true, scaling the data with Unit Variance with StandardScalar. |