lisitsyn

#include <tapkee/tapkee.hpp>

using namespace std;
using namespace tapkee;

int main(int argc, const char** argv)
{
    const int N = 100;
    const int M = 10;
    tapkee::DenseMatrix matrix(M, N);

lisitsyn

diff --git a/cmake/FindOctave.cmake b/cmake/FindOctave.cmake
index df662aba9..585d984aa 100644
--- a/cmake/FindOctave.cmake
+++ b/cmake/FindOctave.cmake
@@ -184,9 +184,9 @@ endmacro ()
 # handle REQUIRED and QUIET options
 include (FindPackageHandleStandardArgs)
 if (CMAKE_VERSION LESS 2.8.3)
-  find_package_handle_standard_args (Octave DEFAULT_MSG OCTAVE_EXECUTABLE OCTAVE_ROOT_DIR OCTAVE_INCLUDE_DIRS OCTAVE_LIBRARIES OCTAVE_VERSION_STRING)
+  find_package_handle_standard_args (Octave DEFAULT_MSG OCTAVE_EXECUTABLE OCTAVE_INCLUDE_DIRS OCTAVE_LIBRARIES OCTAVE_VERSION_STRING)

lisitsyn

default:
        g++ -I../../../src -I../../../build/src main.cc Any_unittest.cc -L../../../third_party/libs/gmock/ -lgmock -lpthread -ggdb -g -L../../../build/src/shogun -lshogun
        ./a.out

lisitsyn

class SuperSerializer {
  on(int64);
  on(float64);
  on(SGObject*);
}

class Cereal<Archive> : SuperSerializer {
}

lisitsyn

// Immutable features

// linear model
 - dot prod:
    - pairs
    - 
 - cov var matrix: there's a Feature operator => CovarView => matrix
 -
 

lisitsyn

lisitsyn

# Tag public

template <typename T>
class Tag 
{
public:
    // registers tag in object
    Tag(SGObject* object, const char* name);
};

lisitsyn

struct MutableState {
};

class Regularizer {
  virtual void update(MutableState*) = 0;
};

class LearningRate {
  virtual void update(MutableState*) = 0;
};

lisitsyn

def setup(app):
    app.add_config_value('todo_include_todos', False, False)

    app.add_node(todolist)
    app.add_node(todo,
                 html=(visit_todo_node, depart_todo_node),
                 latex=(visit_todo_node, depart_todo_node),
                 text=(visit_todo_node, depart_todo_node))

    app.add_directive('todo', TodoDirective)

lisitsyn

input_text = """
initialize CSVFile from "filename" as file;
initialize RealFeatures from file as features;
set float kernel_width to 2;
initialize GaussianKernel from kernel_width as kernel;
set matrix<float> K to kernel_matrix of kernel;
"""

import re