Module tensorflow_proto::tensorflow::decision_trees

Modules

binary_node
ensemble
inequality_test
leaf
model
model_and_features
tree_node
value

Structs

Averaging	When present, the Ensemble's output is the average of member models' outputs.
BinaryNode
ConstResultTest	Used in generic_tree_model.BinaryNode.left_child_test. Returns test_result if feature value is not missed. Otherwise BinaryNode.default_direction is used.
DecisionTree
Ensemble	An ordered sequence of models. This message can be used to express bagged or boosted models, as well as custom ensembles.
FeatureId
InequalityTest
Leaf
MatchingValuesTest	Used in generic_tree_model.BinaryNode.left_child_test. Tests whether the feature's value belongs to the specified list, (or does not belong if inverse=True). For empty list use ConstResultTest instead.
Model	A generic handle for any type of model.
ModelAndFeatures
ObliqueFeatures
SparseVector	A SparseVector represents a vector in which only certain select elements are non-zero. Maps labels to values (e.g. class id to probability or count).
Summation	When present, the Ensemble's output is the sum of member models' outputs.
TreeNode
Value	Represents a single value of any type, e.g. 5 or "abc".
Vector