代码搜索：learner
找到约 833 项符合「learner」的源代码
代码结果 833
www.eeworm.com/read/227593/4773962
pm naivebayes.pm
package AI::Categorizer::Learner::NaiveBayes;
use strict;
use AI::Categorizer::Learner;
use base qw(AI::Categorizer::Learner);
use Params::Validate qw(:types);
use Algorithm::NaiveBayes;
__PACKAGE__
www.eeworm.com/read/455344/7373011
m example_1.m
% Step1: reading Data from the file
file_data = load('Ionosphere.txt');
Data = file_data(:,1:end-1)';
Labels = file_data(:, end)';
Labels = Labels*2 - 1;
MaxIter = 100; % boosting iterations
www.eeworm.com/read/455344/7373039
m trainandsave.m
file_data = load('Diabetes.txt');
Data = file_data(:,1:end-1)';
Labels = file_data(:, end)';
Labels = Labels*2 - 1;
% Data = Data';
% Labels = Labels';
weak_learner = tree_node_w(2);
% St
www.eeworm.com/read/454193/7397133
m example_1.m
% Step1: reading Data from the file
file_data = load('Ionosphere.txt');
Data = file_data(:,1:end-1)';
Labels = file_data(:, end)';
Labels = Labels*2 - 1;
MaxIter = 100; % boosting iterations
www.eeworm.com/read/454193/7397160
m trainandsave.m
file_data = load('Diabetes.txt');
Data = file_data(:,1:end-1)';
Labels = file_data(:, end)';
Labels = Labels*2 - 1;
% Data = Data';
% Labels = Labels';
weak_learner = tree_node_w(2);
% St
www.eeworm.com/read/485261/6556878
m example_1.m
% Step1: reading Data from the file
file_data = load('Ionosphere.txt');
Data = file_data(:,1:end-1)';
Labels = file_data(:, end)';
Labels = Labels*2 - 1;
MaxIter = 100; % boosting iterations
www.eeworm.com/read/485261/6556905
m trainandsave.m
file_data = load('Diabetes.txt');
Data = file_data(:,1:end-1)';
Labels = file_data(:, end)';
Labels = Labels*2 - 1;
% Data = Data';
% Labels = Labels';
weak_learner = tree_node_w(2);
% St
www.eeworm.com/read/227593/4773959
pm svm.pm
package AI::Categorizer::Learner::SVM;
$VERSION = '0.01';
use strict;
use AI::Categorizer::Learner::Boolean;
use base qw(AI::Categorizer::Learner::Boolean);
use Algorithm::SVM;
use Algorithm::SVM::Da
www.eeworm.com/read/227593/4773963
pm knn.pm
package AI::Categorizer::Learner::KNN;
use strict;
use AI::Categorizer::Learner;
use base qw(AI::Categorizer::Learner);
use Params::Validate qw(:types);
__PACKAGE__->valid_params
(
threshold =>
www.eeworm.com/read/227593/4773958
pm boolean.pm
package AI::Categorizer::Learner::Boolean;
use strict;
use AI::Categorizer::Learner;
use base qw(AI::Categorizer::Learner);
use Params::Validate qw(:types);
use AI::Categorizer::Util qw(random_elemen