Class: OpenCV::CvBoost

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
DEFAULT = 
0
GINI = 
1
MISCLASS = 
3
SQERR = 
4

Class Method Summary collapse

Instance Method Summary collapse

Class Method Details

.cast_from_cv_stat_model(ptr) ⇒ CvBoost Also known as: castFromCvStatModel

Note:

wrapper for static method CvBoost* CvBoost::castFromCvStatModel(CvStatModel* ptr)

Parameters:

Returns:



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# File 'lib/ropencv/ropencv_types.rb', line 44610

def self.cast_from_cv_stat_model(ptr)
    Rbind::cv_boost_cast_from_cv_stat_model(ptr)
end

.cv_boost ⇒ Object .cv_boost(train_data, tflag, responses, var_idx = Cv::Mat.new(), sample_idx = Cv::Mat.new(), var_type = Cv::Mat.new(), missing_data_mask = Cv::Mat.new(), params = CvBoostParams.new()) ⇒ Object

Overloads:

  • .cv_boost(train_data, tflag, responses, var_idx = Cv::Mat.new(), sample_idx = Cv::Mat.new(), var_type = Cv::Mat.new(), missing_data_mask = Cv::Mat.new(), params = CvBoostParams.new()) ⇒ Object

    Parameters:

    • train_data (Cv::Mat)
    • tflag (Fixnum)
    • responses (Cv::Mat)
    • var_idx (Cv::Mat) (defaults to: Cv::Mat.new())
    • sample_idx (Cv::Mat) (defaults to: Cv::Mat.new())
    • var_type (Cv::Mat) (defaults to: Cv::Mat.new())
    • missing_data_mask (Cv::Mat) (defaults to: Cv::Mat.new())
    • params (CvBoostParams) (defaults to: CvBoostParams.new())

Raises:

  • (ArgumentError) 


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# File 'lib/ropencv/ropencv_types.rb', line 44434

def self.new(*args)
    if args.first.is_a?(FFI::Pointer) || args.first.is_a?(CvBoostStruct)
        raise ArgumentError, "too many arguments for creating #{self.name} from Pointer" unless args.size == 1
        return super(args.first)
    end
    # overloaded method wrapper for CvBoost::CvBoost()
    @@cv_boost_cv_boost_defaults0 ||= []
    if(args.size >= 0 && args.size <= 0)
        targs = args.clone
        targs.size.upto(-1) do |i|
            targs[i] = @@cv_boost_cv_boost_defaults0[i]
        end
        begin
                return Rbind::cv_boost_cv_boost(*targs)
        rescue TypeError => e
            @error = e
        end
    end

    # overloaded method wrapper for CvBoost::CvBoost(const cv::Mat trainData, int tflag, const cv::Mat responses, const cv::Mat varIdx = cv::Mat(), const cv::Mat sampleIdx = cv::Mat(), const cv::Mat varType = cv::Mat(), const cv::Mat missingDataMask = cv::Mat(), const CvBoostParams params = CvBoostParams())
    @@cv_boost_cv_boost2_defaults1 ||= [nil, nil, nil, Cv::Mat.new(), Cv::Mat.new(), Cv::Mat.new(), Cv::Mat.new(), CvBoostParams.new()]
    if(args.size >= 3 && args.size <= 8)
        targs = args.clone
        targs.size.upto(7) do |i|
            targs[i] = @@cv_boost_cv_boost2_defaults1[i]
        end
        begin
                return Rbind::cv_boost_cv_boost2(*targs)
        rescue TypeError => e
            @error = e
        end
    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 44419

def self.null
    new(CvBoostStruct.new)
end

Instance Method Details

#cast_to_cv_stat_model ⇒ CvStatModel Also known as: castToCvStatModel

Note:

method wrapper for CvStatModel* CvBoost::castToCvStatModel()

Returns:



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# File 'lib/ropencv/ropencv_types.rb', line 44596

def cast_to_cv_stat_model()
    __validate_pointer__
    result = Rbind::cv_boost_cast_to_cv_stat_model( 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

#clear ⇒ Void

Note:

method wrapper for void CvBoost::clear()

Returns:

  • (Void) 


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# File 'lib/ropencv/ropencv_types.rb', line 44589

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

#load(filename, name = 0) ⇒ Void

Note:

method wrapper for void CvBoost::load(c_string filename, c_string name = 0)

Parameters:

  • filename (C_string)
  • name (C_string) (defaults to: 0)

Returns:

  • (Void) 


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# File 'lib/ropencv/ropencv_types.rb', line 44628

def load(filename, name = 0)
    __validate_pointer__
    Rbind::cv_boost_load( self, filename, name)
end

#predict(sample, missing = Cv::Mat.new(), slice = Cv::Range::all(), raw_mode = false, return_sum = false) ⇒ Float

Note:

method wrapper for float CvBoost::predict(const cv::Mat sample, const cv::Mat missing = cv::Mat(), const cv::Range slice = cv::Range::all(), bool rawMode = false, bool returnSum = false)

Parameters:

  • sample (Cv::Mat)
  • missing (Cv::Mat) (defaults to: Cv::Mat.new())
  • slice (Cv::Range) (defaults to: Cv::Range::all())
  • raw_mode (Bool) (defaults to: false)
  • return_sum (Bool) (defaults to: false)

Returns:

  • (Float) 


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# File 'lib/ropencv/ropencv_types.rb', line 44574

def predict(sample, missing = Cv::Mat.new(), slice = Cv::Range::all(), raw_mode = false, return_sum = false)
    __validate_pointer__
    Rbind::cv_boost_predict( self, sample, missing, slice, raw_mode, return_sum)
end

#prune(slice) ⇒ Void

Note:

method wrapper for void CvBoost::prune(const CvSlice slice)

Parameters:

Returns:

  • (Void) 


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# File 'lib/ropencv/ropencv_types.rb', line 44582

def prune(slice)
    __validate_pointer__
    Rbind::cv_boost_prune( self, slice)
end

#save(filename, name = 0) ⇒ Void

Note:

method wrapper for void CvBoost::save(c_string filename, c_string name = 0)

Parameters:

  • filename (C_string)
  • name (C_string) (defaults to: 0)

Returns:

  • (Void) 


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# File 'lib/ropencv/ropencv_types.rb', line 44619

def save(filename, name = 0)
    __validate_pointer__
    Rbind::cv_boost_save( self, filename, name)
end

#to_s ⇒ Object

converts CvBoost into a string by crawling through all its attributes



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# File 'lib/ropencv/ropencv_types.rb', line 44534

def to_s
    "#<CvBoost >"
end

#train(train_data, tflag, responses, var_idx = Cv::Mat.new(), sample_idx = Cv::Mat.new(), var_type = Cv::Mat.new(), missing_data_mask = Cv::Mat.new(), params = CvBoostParams.new(), update = false) ⇒ Bool

Note:

method wrapper for bool CvBoost::train(const cv::Mat trainData, int tflag, const cv::Mat responses, const cv::Mat varIdx = cv::Mat(), const cv::Mat sampleIdx = cv::Mat(), const cv::Mat varType = cv::Mat(), const cv::Mat missingDataMask = cv::Mat(), const CvBoostParams params = CvBoostParams(), bool update = false)

methods

Parameters:

  • train_data (Cv::Mat)
  • tflag (Fixnum)
  • responses (Cv::Mat)
  • var_idx (Cv::Mat) (defaults to: Cv::Mat.new())
  • sample_idx (Cv::Mat) (defaults to: Cv::Mat.new())
  • var_type (Cv::Mat) (defaults to: Cv::Mat.new())
  • missing_data_mask (Cv::Mat) (defaults to: Cv::Mat.new())
  • params (CvBoostParams) (defaults to: CvBoostParams.new())
  • update (Bool) (defaults to: false)

Returns:

  • (Bool) 


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# File 'lib/ropencv/ropencv_types.rb', line 44562

def train(train_data, tflag, responses, var_idx = Cv::Mat.new(), sample_idx = Cv::Mat.new(), var_type = Cv::Mat.new(), missing_data_mask = Cv::Mat.new(), params = CvBoostParams.new(), update = false)
    __validate_pointer__
    Rbind::cv_boost_train( self, train_data, tflag, responses, var_idx, sample_idx, var_type, missing_data_mask, params, update)
end