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#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); |
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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) |
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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 |
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class SuperSerializer { | |
on(int64); | |
on(float64); | |
on(SGObject*); | |
} | |
class Cereal<Archive> : SuperSerializer { | |
} | |
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// Immutable features | |
// linear model | |
- dot prod: | |
- pairs | |
- | |
- cov var matrix: there's a Feature operator => CovarView => matrix | |
- | |
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# Tag public | |
template <typename T> | |
class Tag | |
{ | |
public: | |
// registers tag in object | |
Tag(SGObject* object, const char* name); | |
}; |
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struct MutableState { | |
}; | |
class Regularizer { | |
virtual void update(MutableState*) = 0; | |
}; | |
class LearningRate { | |
virtual void update(MutableState*) = 0; | |
}; |
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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) |
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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 |
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