Trait opencv::ml::prelude::StatModelTrait
source · pub trait StatModelTrait: AlgorithmTrait + StatModelTraitConst {
// Required method
fn as_raw_mut_StatModel(&mut self) -> *mut c_void;
// Provided methods
fn train_with_data(
&mut self,
train_data: &Ptr<TrainData>,
flags: i32
) -> Result<bool> { ... }
fn train_with_data_def(
&mut self,
train_data: &Ptr<TrainData>
) -> Result<bool> { ... }
fn train(
&mut self,
samples: &impl ToInputArray,
layout: i32,
responses: &impl ToInputArray
) -> Result<bool> { ... }
}Expand description
Mutable methods for crate::ml::StatModel
Required Methods§
fn as_raw_mut_StatModel(&mut self) -> *mut c_void
Provided Methods§
sourcefn train_with_data(
&mut self,
train_data: &Ptr<TrainData>,
flags: i32
) -> Result<bool>
fn train_with_data( &mut self, train_data: &Ptr<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_with_data_def(&mut self, train_data: &Ptr<TrainData>) -> Result<bool>
fn train_with_data_def(&mut self, train_data: &Ptr<TrainData>) -> 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).
§Note
This alternative version of StatModelTrait::train_with_data function uses the following default values for its arguments:
- flags: 0
sourcefn train(
&mut self,
samples: &impl ToInputArray,
layout: i32,
responses: &impl ToInputArray
) -> Result<bool>
fn train( &mut self, samples: &impl ToInputArray, layout: i32, responses: &impl ToInputArray ) -> Result<bool>
Trains the statistical model
§Parameters
- samples: training samples
- layout: See ml::SampleTypes.
- responses: vector of responses associated with the training samples.
Object Safety§
This trait is not object safe.