Function sparse_decision

src/thundersvm/thundersvm-scikit.cpp:324–334

    }

    void sparse_decision(int row_size, float* val, int* row_ptr, int* col_ptr, SvmModel *model, int value_size, float* dec_value){
        DataSet predict_dataset;
        predict_dataset.load_from_sparse(row_size, val, row_ptr, col_ptr, (float *)NULL);
        model->predict(predict_dataset.instances(), -1);
        SyncArray<float_type> dec_value_array(value_size);
        dec_value_array.copy_from(model->get_dec_value());
        float_type *dec_value_ptr = dec_value_array.host_data();
        for(int i = 0; i < dec_value_array.size(); i++){
            dec_value[i] = dec_value_ptr[i];
        }
    }

    void dense_decision(int row_size, int features, float* data, SvmModel *model, int value_size, float* dec_value){
        DataSet predict_dataset;