Type Definition opencv::types::PtrOfTrainData

pub type PtrOfTrainData = Ptr<dyn TrainData>;

Implementations

impl PtrOfTrainData

pub fn as_raw_PtrOfTrainData(&self) -> *const c_void

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

Trait Implementations

impl TrainData for PtrOfTrainData

fn as_raw_mut_TrainData(&mut self) -> *mut c_void

fn set_train_test_split(&mut self, count: i32, shuffle: bool) -> Result<()>

Splits the training data into the training and test parts

fn set_train_test_split_ratio(
    &mut self,
    ratio: f64,
    shuffle: bool
) -> Result<()>

Splits the training data into the training and test parts

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

impl TrainDataConst for PtrOfTrainData

fn as_raw_TrainData(&self) -> *const c_void

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

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

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

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

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

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

fn get_sample(
    &self,
    var_idx: &dyn ToInputArray,
    sidx: i32,
    buf: &mut f32
) -> Result<()>

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

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

fn get_train_samples(
    &self,
    layout: i32,
    compress_samples: bool,
    compress_vars: bool
) -> Result<Mat>

Returns matrix of train samples

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

Returns the vector of responses

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

Returns the vector of normalized categorical responses

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

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

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

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

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

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

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

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

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

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

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

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

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

fn get_values(
    &self,
    vi: i32,
    sidx: &dyn ToInputArray,
    values: &mut f32
) -> Result<()>

fn get_norm_cat_values(
    &self,
    vi: i32,
    sidx: &dyn ToInputArray,
    values: &mut i32
) -> Result<()>

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

fn get_cat_count(&self, vi: i32) -> Result<i32>

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

Returns the vector of class labels

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

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

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

Returns matrix of test samples

fn get_names(&self, names: &mut Vector<String>) -> Result<()>

Returns vector of symbolic names captured in loadFromCSV()