Struct opencv::types::PtrOfTrainData

pub struct PtrOfTrainData { /* fields omitted */ }

Methods

impl PtrOfTrainData

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

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

Trait Implementations

impl TrainData for PtrOfTrainData

fn as_raw_TrainData(&self) -> *mut c_void

fn missing_value(&mut self) -> Result<f32>

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: &Mat, 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: &Mat, values: &mut f32) -> Result<()>

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

Splits the training data into the training and test parts ## See also TrainData::setTrainTestSplitRatio

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<()>

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

Returns matrix of test samples

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

Returns vector of symbolic names captured in loadFromCSV()

impl Send for PtrOfTrainData

impl Drop for PtrOfTrainData

fn drop(&mut self)

Executes the destructor for this type.