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unsigned long | cascade_depth |
| | cascade_depth This stores the deapth of cascade used for training.
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unsigned long | tree_depth |
| | tree_depth This stores the max height of the regression tree built.
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unsigned long | num_trees_per_cascade_level |
| | num_trees_per_cascade_level This stores number of trees fit per cascade level.
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float | learning_rate |
| | learning_rate stores the learning rate in gradient boosting, also referred as shrinkage.
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unsigned long | oversampling_amount |
| | oversampling_amount stores number of initialisations used to create training samples.
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unsigned long | num_test_coordinates |
| | num_test_coordinates stores number of test coordinates.
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float | lambda |
| | lambda stores a value to calculate probability of closeness of two coordinates.
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unsigned long | num_test_splits |
| | num_test_splits stores number of random test splits generated.
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String | configfile |
| | configfile stores the name of the file containing the values of training parameters
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