opencv::hub_prelude

Trait DTrees_SplitTraitConst

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pub trait DTrees_SplitTraitConst {
    // Required method
    fn as_raw_DTrees_Split(&self) -> *const c_void;

    // Provided methods
    fn var_idx(&self) -> i32 { ... }
    fn inversed(&self) -> bool { ... }
    fn quality(&self) -> f32 { ... }
    fn next(&self) -> i32 { ... }
    fn c(&self) -> f32 { ... }
    fn subset_ofs(&self) -> i32 { ... }
}
Expand description

Constant methods for crate::ml::DTrees_Split

Required Methods§

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fn as_raw_DTrees_Split(&self) -> *const c_void

Provided Methods§

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fn var_idx(&self) -> i32

Index of variable on which the split is created.

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fn inversed(&self) -> bool

If true, then the inverse split rule is used (i.e. left and right branches are exchanged in the rule expressions below).

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fn quality(&self) -> f32

The split quality, a positive number. It is used to choose the best split.

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fn next(&self) -> i32

Index of the next split in the list of splits for the node

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fn c(&self) -> f32

< The threshold value in case of split on an ordered variable. The rule is:

if var_value < c
  then next_node <- left
  else next_node <- right
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fn subset_ofs(&self) -> i32

< Offset of the bitset used by the split on a categorical variable. The rule is:

if bitset[var_value] == 1
   then next_node <- left
   else next_node <- right

Implementors§