[−][src]Type Definition opencv::types::PtrOfKNearest
type PtrOfKNearest = Ptr<dyn KNearest>;
Implementations
impl PtrOfKNearest
[src]
pub fn as_raw_PtrOfKNearest(&self) -> *const c_void
[src]
pub fn as_raw_mut_PtrOfKNearest(&mut self) -> *mut c_void
[src]
Trait Implementations
impl AlgorithmTrait for PtrOfKNearest
[src]
pub fn as_raw_Algorithm(&self) -> *const c_void
[src]
pub fn as_raw_mut_Algorithm(&mut self) -> *mut c_void
[src]
pub fn clear(&mut self) -> Result<()>
[src]
pub fn write(&self, fs: &mut FileStorage) -> Result<()>
[src]
pub fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>
[src]
pub fn read(&mut self, fn_: &FileNode) -> Result<()>
[src]
pub fn empty(&self) -> Result<bool>
[src]
pub fn save(&self, filename: &str) -> Result<()>
[src]
pub fn get_default_name(&self) -> Result<String>
[src]
impl KNearest for PtrOfKNearest
[src]
pub fn as_raw_KNearest(&self) -> *const c_void
[src]
pub fn as_raw_mut_KNearest(&mut self) -> *mut c_void
[src]
pub fn get_default_k(&self) -> Result<i32>
[src]
pub fn set_default_k(&mut self, val: i32) -> Result<()>
[src]
pub fn get_is_classifier(&self) -> Result<bool>
[src]
pub fn set_is_classifier(&mut self, val: bool) -> Result<()>
[src]
pub fn get_emax(&self) -> Result<i32>
[src]
pub fn set_emax(&mut self, val: i32) -> Result<()>
[src]
pub fn get_algorithm_type(&self) -> Result<i32>
[src]
pub fn set_algorithm_type(&mut self, val: i32) -> Result<()>
[src]
pub fn find_nearest(
&self,
samples: &dyn ToInputArray,
k: i32,
results: &mut dyn ToOutputArray,
neighbor_responses: &mut dyn ToOutputArray,
dist: &mut dyn ToOutputArray
) -> Result<f32>
[src]
&self,
samples: &dyn ToInputArray,
k: i32,
results: &mut dyn ToOutputArray,
neighbor_responses: &mut dyn ToOutputArray,
dist: &mut dyn ToOutputArray
) -> Result<f32>
impl StatModel for PtrOfKNearest
[src]
pub fn as_raw_StatModel(&self) -> *const c_void
[src]
pub fn as_raw_mut_StatModel(&mut self) -> *mut c_void
[src]
pub fn get_var_count(&self) -> Result<i32>
[src]
pub fn empty(&self) -> Result<bool>
[src]
pub fn is_trained(&self) -> Result<bool>
[src]
pub fn is_classifier(&self) -> Result<bool>
[src]
pub fn train_with_data(
&mut self,
train_data: &Ptr<dyn TrainData>,
flags: i32
) -> Result<bool>
[src]
&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>
[src]
&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>
[src]
&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>
[src]
&self,
samples: &dyn ToInputArray,
results: &mut dyn ToOutputArray,
flags: i32
) -> Result<f32>