Trait opencv::hub_prelude::StatModel
source · [−]pub trait StatModel: AlgorithmTrait + StatModelConst {
fn as_raw_mut_StatModel(&mut self) -> *mut c_void;
fn train_with_data(
&mut self,
train_data: &Ptr<dyn TrainData>,
flags: i32
) -> Result<bool> { ... }
fn train(
&mut self,
samples: &dyn ToInputArray,
layout: i32,
responses: &dyn ToInputArray
) -> Result<bool> { ... }
}Required Methods
fn as_raw_mut_StatModel(&mut self) -> *mut c_void
Provided Methods
sourcefn train_with_data(
&mut self,
train_data: &Ptr<dyn TrainData>,
flags: i32
) -> Result<bool>
fn train_with_data(
&mut self,
train_data: &Ptr<dyn TrainData>,
flags: i32
) -> Result<bool>
Trains the statistical model
Parameters
- trainData: training data that can be loaded from file using TrainData::loadFromCSV or created with TrainData::create.
- flags: optional flags, depending on the model. Some of the models can be updated with the new training samples, not completely overwritten (such as NormalBayesClassifier or ANN_MLP).
C++ default parameters
- flags: 0
sourcefn train(
&mut self,
samples: &dyn ToInputArray,
layout: i32,
responses: &dyn ToInputArray
) -> Result<bool>
fn train(
&mut self,
samples: &dyn ToInputArray,
layout: i32,
responses: &dyn ToInputArray
) -> Result<bool>
Trains the statistical model
Parameters
- samples: training samples
- layout: See ml::SampleTypes.
- responses: vector of responses associated with the training samples.