[−][src]Type Definition opencv::types::PtrOfDTrees
type PtrOfDTrees = Ptr<dyn DTrees>;
Implementations
impl PtrOfDTrees
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pub fn as_raw_PtrOfDTrees(&self) -> *const c_void
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pub fn as_raw_mut_PtrOfDTrees(&mut self) -> *mut c_void
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Trait Implementations
impl AlgorithmTrait for PtrOfDTrees
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pub fn as_raw_Algorithm(&self) -> *const c_void
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pub fn as_raw_mut_Algorithm(&mut self) -> *mut c_void
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pub fn clear(&mut self) -> Result<()>
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pub fn write(&self, fs: &mut FileStorage) -> Result<()>
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pub fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>
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pub fn read(&mut self, fn_: &FileNode) -> Result<()>
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pub fn empty(&self) -> Result<bool>
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pub fn save(&self, filename: &str) -> Result<()>
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pub fn get_default_name(&self) -> Result<String>
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impl DTrees for PtrOfDTrees
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pub fn as_raw_DTrees(&self) -> *const c_void
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pub fn as_raw_mut_DTrees(&mut self) -> *mut c_void
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pub fn get_max_categories(&self) -> Result<i32>
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pub fn set_max_categories(&mut self, val: i32) -> Result<()>
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pub fn get_max_depth(&self) -> Result<i32>
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pub fn set_max_depth(&mut self, val: i32) -> Result<()>
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pub fn get_min_sample_count(&self) -> Result<i32>
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pub fn set_min_sample_count(&mut self, val: i32) -> Result<()>
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pub fn get_cv_folds(&self) -> Result<i32>
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pub fn set_cv_folds(&mut self, val: i32) -> Result<()>
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pub fn get_use_surrogates(&self) -> Result<bool>
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pub fn set_use_surrogates(&mut self, val: bool) -> Result<()>
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pub fn get_use1_se_rule(&self) -> Result<bool>
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pub fn set_use1_se_rule(&mut self, val: bool) -> Result<()>
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pub fn get_truncate_pruned_tree(&self) -> Result<bool>
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pub fn set_truncate_pruned_tree(&mut self, val: bool) -> Result<()>
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pub fn get_regression_accuracy(&self) -> Result<f32>
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pub fn set_regression_accuracy(&mut self, val: f32) -> Result<()>
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pub fn get_priors(&self) -> Result<Mat>
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pub fn set_priors(&mut self, val: &Mat) -> Result<()>
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pub fn get_roots(&self) -> Result<Vector<i32>>
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pub fn get_nodes(&self) -> Result<Vector<DTrees_Node>>
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pub fn get_splits(&self) -> Result<Vector<DTrees_Split>>
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pub fn get_subsets(&self) -> Result<Vector<i32>>
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impl StatModel for PtrOfDTrees
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pub fn as_raw_StatModel(&self) -> *const c_void
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pub fn as_raw_mut_StatModel(&mut self) -> *mut c_void
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pub fn get_var_count(&self) -> Result<i32>
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pub fn empty(&self) -> Result<bool>
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pub fn is_trained(&self) -> Result<bool>
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pub fn is_classifier(&self) -> Result<bool>
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pub fn train_with_data(
&mut self,
train_data: &Ptr<dyn TrainData>,
flags: i32
) -> Result<bool>
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&mut self,
train_data: &Ptr<dyn TrainData>,
flags: i32
) -> Result<bool>
pub fn train(
&mut self,
samples: &dyn ToInputArray,
layout: i32,
responses: &dyn ToInputArray
) -> Result<bool>
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&mut self,
samples: &dyn ToInputArray,
layout: i32,
responses: &dyn ToInputArray
) -> Result<bool>
pub fn calc_error(
&self,
data: &Ptr<dyn TrainData>,
test: bool,
resp: &mut dyn ToOutputArray
) -> Result<f32>
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&self,
data: &Ptr<dyn TrainData>,
test: bool,
resp: &mut dyn ToOutputArray
) -> Result<f32>
pub fn predict(
&self,
samples: &dyn ToInputArray,
results: &mut dyn ToOutputArray,
flags: i32
) -> Result<f32>
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&self,
samples: &dyn ToInputArray,
results: &mut dyn ToOutputArray,
flags: i32
) -> Result<f32>