FastForestBinaryFeaturizationEstimator.Options Class
Definition
Important
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Options for the FastForestBinaryFeaturizationEstimator.
public sealed class FastForestBinaryFeaturizationEstimator.Options : Microsoft.ML.Trainers.FastTree.TreeEnsembleFeaturizationEstimatorBase.OptionsBasetype FastForestBinaryFeaturizationEstimator.Options = class
inherit TreeEnsembleFeaturizationEstimatorBase.OptionsBasePublic NotInheritable Class FastForestBinaryFeaturizationEstimator.Options
Inherits TreeEnsembleFeaturizationEstimatorBase.OptionsBase- Inheritance
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FastForestBinaryFeaturizationEstimator.Options
Constructors
| FastForestBinaryFeaturizationEstimator.Options() |
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. (Inherited from TreeEnsembleFeaturizationEstimatorBase.OptionsBase) |
| 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 |
| TrainerOptions |
The configuration of FastForestBinaryTrainer used to train the underlying TreeEnsembleModelParameters. |
| 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 |