Enum tensorflow_proto::tensorflow::decision_trees::leaf::Leaf

pub enum Leaf {
    Vector(Vector),
    SparseVector(SparseVector),
}

Variants

Vector(Vector)

The interpretation of the values held in the leaves of a decision tree is application specific, but some common cases are:

1. len(vector) = 1, and the floating point value[0] holds the class 0 probability in a two class classification problem.
2. len(vector) = 1, and the integer value[0] holds the class prediction.
3. The floating point value[i] holds the class i probability prediction.
4. The floating point value[i] holds the i-th component of the vector prediction in a regression problem.
5. sparse_vector holds the sparse class predictions for a classification problem with a large number of classes.

SparseVector(SparseVector)

Implementations

impl Leaf

pub fn encode<B>(&self, buf: &mut B) where
    B: BufMut, 

pub fn merge<B>(
    field: &mut Option<Leaf>,
    tag: u32,
    wire_type: WireType,
    buf: &mut B,
    ctx: DecodeContext
) -> Result<(), DecodeError> where
    B: Buf, 

pub fn encoded_len(&self) -> usize

Trait Implementations

impl Clone for Leaf

pub fn clone(&self) -> Leaf

Returns a copy of the value.

pub fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Leaf

pub fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq<Leaf> for Leaf

pub fn eq(&self, other: &Leaf) -> bool

This method tests for self and other values to be equal, and is used by ==.

pub fn ne(&self, other: &Leaf) -> bool

This method tests for !=.

impl StructuralPartialEq for Leaf