mirror of https://github.com/davisking/dlib.git
Minor changes to avoid compiler warnings from visual studio.
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@ -48,7 +48,7 @@ matrix<double,0,1> apply_cca_transform (
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const sparse_vect& v
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const sparse_vect& v
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)
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)
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{
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{
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pyassert(max_index_plus_one(v) <= m.nr(), "Invalid Inputs");
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pyassert((long)max_index_plus_one(v) <= m.nr(), "Invalid Inputs");
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return sparse_matrix_vector_multiply(trans(m), v);
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return sparse_matrix_vector_multiply(trans(m), v);
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}
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}
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@ -137,7 +137,7 @@ const binary_test _cross_validate_trainer (
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const trainer_type& trainer,
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const trainer_type& trainer,
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const std::vector<typename trainer_type::sample_type>& x,
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const std::vector<typename trainer_type::sample_type>& x,
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const std::vector<double>& y,
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const std::vector<double>& y,
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const long folds
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const unsigned long folds
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)
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)
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{
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{
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pyassert(is_binary_classification_problem(x,y), "Training data does not make a valid training set.");
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pyassert(is_binary_classification_problem(x,y), "Training data does not make a valid training set.");
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@ -33,7 +33,7 @@ string cv__repr__ (const cv& v)
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{
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{
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std::ostringstream sout;
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std::ostringstream sout;
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sout << "dlib.vector([";
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sout << "dlib.vector([";
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for (unsigned long i = 0; i < v.size(); ++i)
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for (long i = 0; i < v.size(); ++i)
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{
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{
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sout << v(i);
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sout << v(i);
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if (i+1 < v.size())
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if (i+1 < v.size())
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