• children : ml_lib.random_forest.DecisionTree
• extent : ml_lib.dataset.AttributeDescriptor
• inputs : ml_lib.dataset.Dataset , ml_lib.dimreduce.LinearDimReduceDataset
• learners : ml_lib.random_forest.RFBreiman , ml_lib.random_forest.RFRandomInputSubset
• metadata : ml_lib.dataset.Dataset
• name : ml_lib.dataset.AttributeDescriptor
• number_of_dimensions : ml_lib.random_forest.RFBase , ml_lib.random_forest.RFRandomInputSubset , ml_lib.random_forest.RFBreiman
• number_of_learners : ml_lib.random_forest.RFBase
• original_inputs : ml_lib.dimreduce.LinearDimReduceDataset
• outputs : ml_lib.dataset.Dataset
• prediction : ml_lib.random_forest.DecisionTree
• projection_basis : ml_lib.dimreduce.LinearDimReduceDataset
• split_point : ml_lib.random_forest.DecisionTree