Struct opencv::types::PtrOfDTrees

pub struct PtrOfDTrees { /* fields omitted */ }

Methods

impl PtrOfDTrees

pub fn as_raw_PtrOfDTrees(&self) -> *mut c_void

pub unsafe fn from_raw_ptr(ptr: *mut c_void) -> Self

Trait Implementations

impl Algorithm for PtrOfDTrees

fn as_raw_Algorithm(&self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl DTrees for PtrOfDTrees

fn as_raw_DTrees(&self) -> *mut c_void

fn get_max_categories(&self) -> Result<i32>

@see setMaxCategories

fn set_max_categories(&mut self, val: i32) -> Result<()>

@copybrief getMaxCategories @see getMaxCategories

fn get_max_depth(&self) -> Result<i32>

@see setMaxDepth

fn set_max_depth(&mut self, val: i32) -> Result<()>

@copybrief getMaxDepth @see getMaxDepth

fn get_min_sample_count(&self) -> Result<i32>

@see setMinSampleCount

fn set_min_sample_count(&mut self, val: i32) -> Result<()>

@copybrief getMinSampleCount @see getMinSampleCount

fn get_cv_folds(&self) -> Result<i32>

@see setCVFolds

fn set_cv_folds(&mut self, val: i32) -> Result<()>

@copybrief getCVFolds @see getCVFolds

fn get_use_surrogates(&self) -> Result<bool>

@see setUseSurrogates

fn set_use_surrogates(&mut self, val: bool) -> Result<()>

@copybrief getUseSurrogates @see getUseSurrogates

fn get_use1_se_rule(&self) -> Result<bool>

@see setUse1SERule

fn set_use1_se_rule(&mut self, val: bool) -> Result<()>

@copybrief getUse1SERule @see getUse1SERule

fn get_truncate_pruned_tree(&self) -> Result<bool>

@see setTruncatePrunedTree

fn set_truncate_pruned_tree(&mut self, val: bool) -> Result<()>

@copybrief getTruncatePrunedTree @see getTruncatePrunedTree

fn get_regression_accuracy(&self) -> Result<f32>

@see setRegressionAccuracy

fn set_regression_accuracy(&mut self, val: f32) -> Result<()>

@copybrief getRegressionAccuracy @see getRegressionAccuracy

fn get_priors(&self) -> Result<Mat>

@see setPriors

fn set_priors(&mut self, val: &Mat) -> Result<()>

@copybrief getPriors @see getPriors

fn get_roots(&self) -> Result<VectorOfint>

Returns indices of root nodes

fn get_nodes(&self) -> Result<VectorOfNode>

Returns all the nodes

fn get_splits(&self) -> Result<VectorOfSplit>

Returns all the splits

fn get_subsets(&self) -> Result<VectorOfint>

Returns all the bitsets for categorical splits

impl StatModel for PtrOfDTrees

fn as_raw_StatModel(&self) -> *mut c_void

fn get_var_count(&self) -> Result<i32>

Returns the number of variables in training samples

fn empty(&self) -> Result<bool>

fn is_trained(&self) -> Result<bool>

Returns true if the model is trained

fn is_classifier(&self) -> Result<bool>

Returns true if the model is classifier

fn train_with_data(
    &mut self,
    train_data: &PtrOfTrainData,
    flags: i32
) -> Result<bool>

Trains the statistical model

fn train(&mut self, samples: &Mat, layout: i32, responses: &Mat) -> Result<bool>

Trains the statistical model

fn calc_error(
    &self,
    data: &PtrOfTrainData,
    test: bool,
    resp: &mut Mat
) -> Result<f32>

Computes error on the training or test dataset

fn predict(&self, samples: &Mat, results: &mut Mat, flags: i32) -> Result<f32>

Predicts response(s) for the provided sample(s)

impl Send for PtrOfDTrees

impl Drop for PtrOfDTrees

fn drop(&mut self)

Executes the destructor for this type.