Class: OpenCV::Cv::Ml::Boost

Inherits:
Object
  • Object
show all
Extended by:
FFI::DataConverter
Defined in:
lib/ropencv/ropencv_types.rb

Constants collapse

DISCRETE = 
0
REAL = 
1
LOGIT = 
2
GENTLE = 
3

Class Method Summary collapse

Instance Method Summary collapse

Class Method Details

.create ⇒ Cv::Ptr::Cv_Ml_Boost

Note:

wrapper for static method const cv::Ptrcv::ml::Boost cv::ml::Boost::create()

Returns:



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# File 'lib/ropencv/ropencv_types.rb', line 50569

def self.create()
    Rbind::cv_ml_boost_create()
end

.load(filepath, node_name = Std::String.new()) ⇒ Cv::Ptr::Cv_Ml_Boost

Note:

wrapper for static method const cv::Ptrcv::ml::Boost cv::ml::Boost::load(const std::string filepath, const std::string nodeName = String())

Parameters:

Returns:



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# File 'lib/ropencv/ropencv_types.rb', line 50577

def self.load(filepath, node_name = Std::String.new())
    Rbind::cv_ml_boost_load(filepath, node_name)
end

.new(*args) ⇒ Object

Raises:

  • (ArgumentError) 


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# File 'lib/ropencv/ropencv_types.rb', line 50430

def self.new(*args)
    if args.first.is_a?(FFI::Pointer) || args.first.is_a?(BoostStruct)
        raise ArgumentError, "too many arguments for creating #{self.name} from Pointer" unless args.size == 1
        return super(args.first)
    end

    raise ArgumentError, "no constructor for #{self}(#{args.inspect})"
end

.null ⇒ Object

returns a null pointer to the object



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# File 'lib/ropencv/ropencv_types.rb', line 50426

def self.null
    new(BoostStruct.new)
end

Instance Method Details

#calc_error(data, test, resp) ⇒ Float Also known as: calcError

Note:

method wrapper for float cv::ml::Boost::calcError(const cv::Ptrcv::ml::TrainData data, bool test, cv::Mat& resp)

Parameters:

Returns:

  • (Float) 


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# File 'lib/ropencv/ropencv_types.rb', line 50847

def calc_error(data, test, resp)
    __validate_pointer__
    Rbind::cv_ml_boost_calc_error( self, data, test, resp)
end

#cast_to_algorithm(parse_ownership) ⇒ Cv::Algorithm Also known as: castToAlgorithm

Note:

method wrapper for cv::Algorithm* cv::ml::Boost::castToAlgorithm(bool parse_ownership)

Parameters:

  • parse_ownership (Bool)

Returns:



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# File 'lib/ropencv/ropencv_types.rb', line 50866

def cast_to_algorithm(parse_ownership)
    __validate_pointer__
    result = Rbind::cv_ml_boost_cast_to_algorithm( self, parse_ownership)
    if result.respond_to?(:__owner__?) && !result.__owner__?
    # store owner insight the pointer to not get garbage collected
        result.instance_variable_get(:@__obj_ptr__).instance_variable_set(:@__owner__,self) 
    end
    result
end

#cast_to_stat_model(parse_ownership) ⇒ Cv::Ml::StatModel Also known as: castToStatModel

Note:

method wrapper for cv::ml::StatModel* cv::ml::Boost::castToStatModel(bool parse_ownership)

Parameters:

  • parse_ownership (Bool)

Returns:



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# File 'lib/ropencv/ropencv_types.rb', line 50756

def cast_to_stat_model(parse_ownership)
    __validate_pointer__
    result = Rbind::cv_ml_boost_cast_to_stat_model( self, parse_ownership)
    if result.respond_to?(:__owner__?) && !result.__owner__?
    # store owner insight the pointer to not get garbage collected
        result.instance_variable_get(:@__obj_ptr__).instance_variable_set(:@__owner__,self) 
    end
    result
end

#cast_tod_trees(parse_ownership) ⇒ Cv::Ml::DTrees Also known as: castToDTrees

Note:

method wrapper for cv::ml::DTrees* cv::ml::Boost::castToDTrees(bool parse_ownership)

Parameters:

  • parse_ownership (Bool)

Returns:



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# File 'lib/ropencv/ropencv_types.rb', line 50584

def cast_tod_trees(parse_ownership)
    __validate_pointer__
    result = Rbind::cv_ml_boost_cast_tod_trees( self, parse_ownership)
    if result.respond_to?(:__owner__?) && !result.__owner__?
    # store owner insight the pointer to not get garbage collected
        result.instance_variable_get(:@__obj_ptr__).instance_variable_set(:@__owner__,self) 
    end
    result
end

#clear ⇒ Void

Note:

method wrapper for void cv::ml::Boost::clear()

Returns:

  • (Void) 


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# File 'lib/ropencv/ropencv_types.rb', line 50879

def clear()
    __validate_pointer__
    Rbind::cv_ml_boost_clear( self)
end

#empty ⇒ Bool

Note:

method wrapper for bool cv::ml::Boost::empty()

Returns:

  • (Bool) 


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# File 'lib/ropencv/ropencv_types.rb', line 50777

def empty()
    __validate_pointer__
    Rbind::cv_ml_boost_empty( self)
end

#get_boost_type ⇒ Fixnum Also known as: getBoostType

Note:

method wrapper for int cv::ml::Boost::getBoostType()

methods

Returns:

  • (Fixnum) 


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# File 'lib/ropencv/ropencv_types.rb', line 50518

def get_boost_type()
    __validate_pointer__
    Rbind::cv_ml_boost_get_boost_type( self)
end

#get_default_name ⇒ Std::String Also known as: getDefaultName

Note:

method wrapper for const std::string cv::ml::Boost::getDefaultName()

Returns:



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# File 'lib/ropencv/ropencv_types.rb', line 50911

def get_default_name()
    __validate_pointer__
    result = Rbind::cv_ml_boost_get_default_name( self)
    if result.respond_to?(:__owner__?) && !result.__owner__?
    # store owner insight the pointer to not get garbage collected
        result.instance_variable_get(:@__obj_ptr__).instance_variable_set(:@__owner__,self) 
    end
    result
end

#get_max_categories ⇒ Fixnum Also known as: getMaxCategories

Note:

method wrapper for int cv::ml::Boost::getMaxCategories()

Returns:

  • (Fixnum) 


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# File 'lib/ropencv/ropencv_types.rb', line 50597

def get_max_categories()
    __validate_pointer__
    Rbind::cv_ml_boost_get_max_categories( self)
end

#get_max_depth ⇒ Fixnum Also known as: getMaxDepth

Note:

method wrapper for int cv::ml::Boost::getMaxDepth()

Returns:

  • (Fixnum) 


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# File 'lib/ropencv/ropencv_types.rb', line 50614

def get_max_depth()
    __validate_pointer__
    Rbind::cv_ml_boost_get_max_depth( self)
end

#get_min_sample_count ⇒ Fixnum Also known as: getMinSampleCount

Note:

method wrapper for int cv::ml::Boost::getMinSampleCount()

Returns:

  • (Fixnum) 


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# File 'lib/ropencv/ropencv_types.rb', line 50631

def get_min_sample_count()
    __validate_pointer__
    Rbind::cv_ml_boost_get_min_sample_count( self)
end

#get_priors ⇒ Cv::Mat Also known as: getPriors

Note:

method wrapper for const cv::Mat cv::ml::Boost::getPriors()

Returns:



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# File 'lib/ropencv/ropencv_types.rb', line 50733

def get_priors()
    __validate_pointer__
    result = Rbind::cv_ml_boost_get_priors( self)
    if result.respond_to?(:__owner__?) && !result.__owner__?
    # store owner insight the pointer to not get garbage collected
        result.instance_variable_get(:@__obj_ptr__).instance_variable_set(:@__owner__,self) 
    end
    result
end

#get_regression_accuracy ⇒ Float Also known as: getRegressionAccuracy

Note:

method wrapper for float cv::ml::Boost::getRegressionAccuracy()

Returns:

  • (Float) 


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# File 'lib/ropencv/ropencv_types.rb', line 50716

def get_regression_accuracy()
    __validate_pointer__
    Rbind::cv_ml_boost_get_regression_accuracy( self)
end

#get_truncate_pruned_tree ⇒ Bool Also known as: getTruncatePrunedTree

Note:

method wrapper for bool cv::ml::Boost::getTruncatePrunedTree()

Returns:

  • (Bool) 


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# File 'lib/ropencv/ropencv_types.rb', line 50699

def get_truncate_pruned_tree()
    __validate_pointer__
    Rbind::cv_ml_boost_get_truncate_pruned_tree( self)
end

#get_use1se_rule ⇒ Bool Also known as: getUse1SERule

Note:

method wrapper for bool cv::ml::Boost::getUse1SERule()

Returns:

  • (Bool) 


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# File 'lib/ropencv/ropencv_types.rb', line 50682

def get_use1se_rule()
    __validate_pointer__
    Rbind::cv_ml_boost_get_use1se_rule( self)
end

#get_use_surrogates ⇒ Bool Also known as: getUseSurrogates

Note:

method wrapper for bool cv::ml::Boost::getUseSurrogates()

Returns:

  • (Bool) 


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# File 'lib/ropencv/ropencv_types.rb', line 50665

def get_use_surrogates()
    __validate_pointer__
    Rbind::cv_ml_boost_get_use_surrogates( self)
end

#get_var_count ⇒ Fixnum Also known as: getVarCount

Note:

method wrapper for int cv::ml::Boost::getVarCount()

Returns:

  • (Fixnum) 


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# File 'lib/ropencv/ropencv_types.rb', line 50769

def get_var_count()
    __validate_pointer__
    Rbind::cv_ml_boost_get_var_count( self)
end

#get_weak_count ⇒ Fixnum Also known as: getWeakCount

Note:

method wrapper for int cv::ml::Boost::getWeakCount()

Returns:

  • (Fixnum) 


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# File 'lib/ropencv/ropencv_types.rb', line 50535

def get_weak_count()
    __validate_pointer__
    Rbind::cv_ml_boost_get_weak_count( self)
end

#get_weight_trim_rate ⇒ Double Also known as: getWeightTrimRate

Note:

method wrapper for double cv::ml::Boost::getWeightTrimRate()

Returns:

  • (Double) 


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# File 'lib/ropencv/ropencv_types.rb', line 50552

def get_weight_trim_rate()
    __validate_pointer__
    Rbind::cv_ml_boost_get_weight_trim_rate( self)
end

#getcv_folds ⇒ Fixnum Also known as: getCVFolds

Note:

method wrapper for int cv::ml::Boost::getCVFolds()

Returns:

  • (Fixnum) 


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# File 'lib/ropencv/ropencv_types.rb', line 50648

def getcv_folds()
    __validate_pointer__
    Rbind::cv_ml_boost_getcv_folds( self)
end

#is_classifier ⇒ Bool Also known as: isClassifier

Note:

method wrapper for bool cv::ml::Boost::isClassifier()

Returns:

  • (Bool) 


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# File 'lib/ropencv/ropencv_types.rb', line 50792

def is_classifier()
    __validate_pointer__
    Rbind::cv_ml_boost_is_classifier( self)
end

#is_trained ⇒ Bool Also known as: isTrained

Note:

method wrapper for bool cv::ml::Boost::isTrained()

Returns:

  • (Bool) 


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# File 'lib/ropencv/ropencv_types.rb', line 50784

def is_trained()
    __validate_pointer__
    Rbind::cv_ml_boost_is_trained( self)
end

#predict(samples, results = Cv::Mat.new(), flags = 0) ⇒ Float

Note:

method wrapper for float cv::ml::Boost::predict(const cv::Mat samples, const cv::Mat results = Mat()/O, int flags = 0)

Parameters:

  • samples (Cv::Mat)
  • results (Cv::Mat) (defaults to: Cv::Mat.new())
  • flags (Fixnum) (defaults to: 0)

Returns:

  • (Float) 


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# File 'lib/ropencv/ropencv_types.rb', line 50858

def predict(samples, results = Cv::Mat.new(), flags = 0)
    __validate_pointer__
    Rbind::cv_ml_boost_predict( self, samples, results, flags)
end

#read(fn) ⇒ Void

Note:

method wrapper for void cv::ml::Boost::read(const cv::FileNode fn)

Parameters:

Returns:

  • (Void) 


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# File 'lib/ropencv/ropencv_types.rb', line 50896

def read(fn)
    __validate_pointer__
    Rbind::cv_ml_boost_read( self, fn)
end

#save(filename) ⇒ Void

Note:

method wrapper for void cv::ml::Boost::save(const std::string filename)

Parameters:

Returns:

  • (Void) 


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# File 'lib/ropencv/ropencv_types.rb', line 50904

def save(filename)
    __validate_pointer__
    Rbind::cv_ml_boost_save( self, filename)
end

#set_boost_type(val) ⇒ Void Also known as: setBoostType

Note:

method wrapper for void cv::ml::Boost::setBoostType(int val)

Parameters:

  • val (Fixnum)

Returns:

  • (Void) 


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# File 'lib/ropencv/ropencv_types.rb', line 50527

def set_boost_type(val)
    __validate_pointer__
    Rbind::cv_ml_boost_set_boost_type( self, val)
end

#set_max_categories(val) ⇒ Void Also known as: setMaxCategories

Note:

method wrapper for void cv::ml::Boost::setMaxCategories(int val)

Parameters:

  • val (Fixnum)

Returns:

  • (Void) 


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# File 'lib/ropencv/ropencv_types.rb', line 50606

def set_max_categories(val)
    __validate_pointer__
    Rbind::cv_ml_boost_set_max_categories( self, val)
end

#set_max_depth(val) ⇒ Void Also known as: setMaxDepth

Note:

method wrapper for void cv::ml::Boost::setMaxDepth(int val)

Parameters:

  • val (Fixnum)

Returns:

  • (Void) 


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# File 'lib/ropencv/ropencv_types.rb', line 50623

def set_max_depth(val)
    __validate_pointer__
    Rbind::cv_ml_boost_set_max_depth( self, val)
end

#set_min_sample_count(val) ⇒ Void Also known as: setMinSampleCount

Note:

method wrapper for void cv::ml::Boost::setMinSampleCount(int val)

Parameters:

  • val (Fixnum)

Returns:

  • (Void) 


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# File 'lib/ropencv/ropencv_types.rb', line 50640

def set_min_sample_count(val)
    __validate_pointer__
    Rbind::cv_ml_boost_set_min_sample_count( self, val)
end

#set_priors(val) ⇒ Void Also known as: setPriors

Note:

method wrapper for void cv::ml::Boost::setPriors(const cv::Mat val)

Parameters:

Returns:

  • (Void) 


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# File 'lib/ropencv/ropencv_types.rb', line 50747

def set_priors(val)
    __validate_pointer__
    Rbind::cv_ml_boost_set_priors( self, val)
end

#set_regression_accuracy(val) ⇒ Void Also known as: setRegressionAccuracy

Note:

method wrapper for void cv::ml::Boost::setRegressionAccuracy(float val)

Parameters:

  • val (Float)

Returns:

  • (Void) 


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# File 'lib/ropencv/ropencv_types.rb', line 50725

def set_regression_accuracy(val)
    __validate_pointer__
    Rbind::cv_ml_boost_set_regression_accuracy( self, val)
end

#set_truncate_pruned_tree(val) ⇒ Void Also known as: setTruncatePrunedTree

Note:

method wrapper for void cv::ml::Boost::setTruncatePrunedTree(bool val)

Parameters:

  • val (Bool)

Returns:

  • (Void) 


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# File 'lib/ropencv/ropencv_types.rb', line 50708

def set_truncate_pruned_tree(val)
    __validate_pointer__
    Rbind::cv_ml_boost_set_truncate_pruned_tree( self, val)
end

#set_use1se_rule(val) ⇒ Void Also known as: setUse1SERule

Note:

method wrapper for void cv::ml::Boost::setUse1SERule(bool val)

Parameters:

  • val (Bool)

Returns:

  • (Void) 


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# File 'lib/ropencv/ropencv_types.rb', line 50691

def set_use1se_rule(val)
    __validate_pointer__
    Rbind::cv_ml_boost_set_use1se_rule( self, val)
end

#set_use_surrogates(val) ⇒ Void Also known as: setUseSurrogates

Note:

method wrapper for void cv::ml::Boost::setUseSurrogates(bool val)

Parameters:

  • val (Bool)

Returns:

  • (Void) 


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# File 'lib/ropencv/ropencv_types.rb', line 50674

def set_use_surrogates(val)
    __validate_pointer__
    Rbind::cv_ml_boost_set_use_surrogates( self, val)
end

#set_weak_count(val) ⇒ Void Also known as: setWeakCount

Note:

method wrapper for void cv::ml::Boost::setWeakCount(int val)

Parameters:

  • val (Fixnum)

Returns:

  • (Void) 


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# File 'lib/ropencv/ropencv_types.rb', line 50544

def set_weak_count(val)
    __validate_pointer__
    Rbind::cv_ml_boost_set_weak_count( self, val)
end

#set_weight_trim_rate(val) ⇒ Void Also known as: setWeightTrimRate

Note:

method wrapper for void cv::ml::Boost::setWeightTrimRate(double val)

Parameters:

  • val (Double)

Returns:

  • (Void) 


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# File 'lib/ropencv/ropencv_types.rb', line 50561

def set_weight_trim_rate(val)
    __validate_pointer__
    Rbind::cv_ml_boost_set_weight_trim_rate( self, val)
end

#setcv_folds(val) ⇒ Void Also known as: setCVFolds

Note:

method wrapper for void cv::ml::Boost::setCVFolds(int val)

Parameters:

  • val (Fixnum)

Returns:

  • (Void) 


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# File 'lib/ropencv/ropencv_types.rb', line 50657

def setcv_folds(val)
    __validate_pointer__
    Rbind::cv_ml_boost_setcv_folds( self, val)
end

#to_s ⇒ Object

converts Boost into a string by crawling through all its attributes



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# File 'lib/ropencv/ropencv_types.rb', line 50503

def to_s
    "#<cv::ml::Boost >"
end

#train(train_data, flags = 0) ⇒ Bool #train(samples, layout, responses) ⇒ Bool

Note:

wrapper for overloaded method train

Overloads:

  • #train(train_data, flags = 0) ⇒ Bool

    Parameters:

    Returns:

    • (Bool)
  • #train(samples, layout, responses) ⇒ Bool

    Parameters:

    Returns:

    • (Bool)

Raises:

  • (ArgumentError) 


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# File 'lib/ropencv/ropencv_types.rb', line 50809

def train(*args)
    __validate_pointer__
    # overloaded method wrapper for bool cv::ml::Boost::train(const cv::Ptr<cv::ml::TrainData> trainData, int flags = 0)
    @@cv_ml_boost_train_defaults0 ||= [nil, 0]
    if(args.size >= 1 && args.size <= 2)
        targs = args.clone
        targs.size.upto(1) do |i|
            targs[i] = @@cv_ml_boost_train_defaults0[i]
        end
        begin
                return Rbind::cv_ml_boost_train(self,*targs)
        rescue TypeError => e
            @error = e
        end
    end

    # overloaded method wrapper for bool cv::ml::Boost::train(const cv::Mat samples, int layout, const cv::Mat responses)
    @@cv_ml_boost_train__2_defaults1 ||= [nil, nil, nil]
    if(args.size >= 3 && args.size <= 3)
        targs = args.clone
        targs.size.upto(2) do |i|
            targs[i] = @@cv_ml_boost_train__2_defaults1[i]
        end
        begin
                return Rbind::cv_ml_boost_train__2(self,*targs)
        rescue TypeError => e
            @error = e
        end
    end

    raise ArgumentError, "No overloaded signature fits to: #{args.map(&:class)}"
end

#write(fs, name = Std::String.new()) ⇒ Void

Note:

method wrapper for void cv::ml::Boost::write(const cv::Ptrcv::FileStorage fs, const std::string name = String())

Parameters:

Returns:

  • (Void) 


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# File 'lib/ropencv/ropencv_types.rb', line 50888

def write(fs, name = Std::String.new())
    __validate_pointer__
    Rbind::cv_ml_boost_write( self, fs, name)
end