TreeEnsembleFeaturizationEstimatorBase.OptionsBase Class
Definition
Important
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The common options of tree-based featurizations such as FastTreeBinaryFeaturizationEstimator, FastForestBinaryFeaturizationEstimator, FastTreeRegressionFeaturizationEstimator, FastForestRegressionFeaturizationEstimator, and PretrainedTreeFeaturizationEstimator.
public abstract class TreeEnsembleFeaturizationEstimatorBase.OptionsBase
type TreeEnsembleFeaturizationEstimatorBase.OptionsBase = class
Public MustInherit Class TreeEnsembleFeaturizationEstimatorBase.OptionsBase
- Inheritance
-
TreeEnsembleFeaturizationEstimatorBase.OptionsBase
- Derived
Constructors
TreeEnsembleFeaturizationEstimatorBase.OptionsBase() |
Fields
InputColumnName |
The name of feature column in the IDataView when calling Fit(IDataView). The column type must be a vector of Single. The column called InputColumnName would be mapped to columns called TreesColumnName, LeavesColumnName, and PathsColumnName in the output of TreeEnsembleFeaturizationEstimatorBase and its derived classes. Note that Microsoft.ML.Trainers.FastTree.TreeEnsembleFeaturizationEstimatorBase.FeatureColumnName is not necessary to be the same as the feature column used to train the underlying tree model. |
LeavesColumnName |
The 0-1 encoding of all leaf nodes' IDs. Its type is a vector of Single. If the given feature
vector falls into the first leaf of the first tree, the first element in the 0-1 encoding would be 1.
If LeavesColumnName is |
PathsColumnName |
The 0-1 encoding of the paths to the leaves. If the path to the first tree's leaf is node 1 (2nd node in the first tree),
node 3 (4th node in the first tree), and node 5 (6th node in the first tree), the 2nd, 4th, and 6th element in that encoding
would be 1.
If PathsColumnName is |
TreesColumnName |
The name of the column that stores the prediction values of all trees. Its type is a vector of Single
and the i-th vector element is the prediction value predicted by the i-th tree.
If TreesColumnName is |