Adding tensor methods
This commit is contained in:
2
pspp.jnl
2
pspp.jnl
@@ -1 +1,3 @@
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GET FILE="/home/rmontanana/Code/covbench/data/covid_v9_20220630.sav".
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GET FILE="/home/rmontanana/Code/covbench/data/covid_v9_20220630.sav".
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SHOW SYSTEM.
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SHOW SYSTEM.
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@@ -1,4 +1,5 @@
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#include "PyClassifier.h"
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#include "PyClassifier.h"
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#include <torch/csrc/autograd/python_variable.h>
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namespace pywrap {
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namespace pywrap {
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@@ -13,13 +14,21 @@ namespace pywrap {
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pyWrap->clean(module, className);
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pyWrap->clean(module, className);
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}
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}
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std::string PyClassifier::callMethod(const std::string& method)
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std::string PyClassifier::version()
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{
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return pyWrap->version(module, className);
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}
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std::string PyClassifier::callMethodString(const std::string& method)
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{
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{
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return pyWrap->callMethodString(module, className, method);
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return pyWrap->callMethodString(module, className, method);
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}
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}
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PyClassifier& PyClassifier::fit(torch::Tensor& X, torch::Tensor& y, const std::vector<std::string>& features, const std::string& className, std::map<std::string, std::vector<int>>& states)
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PyClassifier& PyClassifier::fit(torch::Tensor& X, torch::Tensor& y, const std::vector<std::string>& features, const std::string& className, std::map<std::string, std::vector<int>>& states)
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{
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{
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PyObject* Xp = NULL;//THPVariable_Wrap(X);
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PyObject* yp = NULL;//THPVariable_Wrap(y);
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pyWrap->fit(module, className, Xp, yp);
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return *this;
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}
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}
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} /* namespace PyWrap */
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} /* namespace PyWrap */
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@@ -12,7 +12,10 @@ namespace pywrap {
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PyClassifier(const std::string& module, const std::string& className);
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PyClassifier(const std::string& module, const std::string& className);
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virtual ~PyClassifier();
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virtual ~PyClassifier();
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PyClassifier& fit(torch::Tensor& X, torch::Tensor& y, const std::vector<std::string>& features, const std::string& className, std::map<std::string, std::vector<int>>& states);
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PyClassifier& fit(torch::Tensor& X, torch::Tensor& y, const std::vector<std::string>& features, const std::string& className, std::map<std::string, std::vector<int>>& states);
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std::string callMethod(const std::string& method);
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torch::Tensor predict(torch::Tensor& X);
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double score(torch::Tensor& X, torch::Tensor& y);
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std::string version();
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std::string callMethodString(const std::string& method);
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private:
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private:
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PyWrap* pyWrap;
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PyWrap* pyWrap;
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std::string module;
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std::string module;
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@@ -83,34 +83,19 @@ namespace pywrap {
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PyErr_Print();
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PyErr_Print();
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exit(1);
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exit(1);
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}
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}
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template<typename T>
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PyObject* PyWrap::getClass(const std::string& moduleName, const std::string& className)
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T PyWrap::callMethod(const std::string& moduleName, const std::string& className, const std::string& method)
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{
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{
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std::cout << "Llamando método" << std::endl;
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auto item = moduleClassMap.find({ moduleName, className });
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auto item = moduleClassMap.find({ moduleName, className });
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if (item == moduleClassMap.end()) {
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if (item == moduleClassMap.end()) {
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errorAbort("Module " + moduleName + " and class " + className + " not found");
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errorAbort("Module " + moduleName + " and class " + className + " not found");
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}
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}
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std::cout << "Clase encontrada" << std::endl;
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std::cout << "Clase encontrada" << std::endl;
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PyObject* instance = std::get<2>(item->second);
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return std::get<2>(item->second);
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PyObject* result;
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if (!(result = PyObject_CallMethod(instance, method.c_str(), NULL)))
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errorAbort("Couldn't call method " + method);
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T value = PyUnicode_AsUTF8(result);
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std::cout << "Result: " << value << std::endl;
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Py_DECREF(result);
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return value;
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}
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}
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std::string PyWrap::callMethodString(const std::string& moduleName, const std::string& className, const std::string& method)
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std::string PyWrap::callMethodString(const std::string& moduleName, const std::string& className, const std::string& method)
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{
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{
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std::cout << "Llamando método" << std::endl;
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std::cout << "Llamando método " << method << std::endl;
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auto item = moduleClassMap.find({ moduleName, className });
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PyObject* instance = getClass(moduleName, className);
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if (item == moduleClassMap.end()) {
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errorAbort("Module " + moduleName + " and class " + className + " not found");
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}
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std::cout << "Clase encontrada" << std::endl;
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PyObject* instance = std::get<2>(item->second);
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PyObject* result;
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PyObject* result;
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if (!(result = PyObject_CallMethod(instance, method.c_str(), NULL)))
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if (!(result = PyObject_CallMethod(instance, method.c_str(), NULL)))
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errorAbort("Couldn't call method " + method);
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errorAbort("Couldn't call method " + method);
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@@ -120,6 +105,42 @@ namespace pywrap {
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Py_DECREF(result);
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Py_DECREF(result);
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return value;
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return value;
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}
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}
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std::string PyWrap::version(const std::string& moduleName, const std::string& className)
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{
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return callMethodString(moduleName, className, "version");
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}
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void PyWrap::fit(const std::string& moduleName, const std::string& className, PyObject* X, PyObject* y)
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{
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std::cout << "Llamando método fit" << std::endl;
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PyObject* instance = getClass(moduleName, className);
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PyObject* result;
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const char method[] = "fit";
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if (!(result = PyObject_CallMethodObjArgs(instance, PyBytes_FromString(method), X, y, NULL)))
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errorAbort("Couldn't call method fit");
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Py_DECREF(result);
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}
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PyObject* PyWrap::predict(const std::string& moduleName, const std::string& className, PyObject* X)
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{
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std::cout << "Llamando método predict" << std::endl;
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PyObject* instance = getClass(moduleName, className);
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PyObject* result;
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const char method[] = "predict";
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if (!(result = PyObject_CallMethodObjArgs(instance, PyBytes_FromString(method), X, NULL)))
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errorAbort("Couldn't call method predict");
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return result; // The caller has to decref the result
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}
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double PyWrap::score(const std::string& moduleName, const std::string& className, PyObject* X, PyObject* y)
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{
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std::cout << "Llamando método score" << std::endl;
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PyObject* instance = getClass(moduleName, className);
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PyObject* result;
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const char method[] = "score";
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if (!(result = PyObject_CallMethodObjArgs(instance, PyBytes_FromString(method), X, y, NULL)))
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errorAbort("Couldn't call method score");
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return PyFloat_AsDouble(result);
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}
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// void PyWrap::doCommand2()
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// void PyWrap::doCommand2()
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// {
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// {
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// PyObject* list = Py_BuildValue("[s]", "Stree");
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// PyObject* list = Py_BuildValue("[s]", "Stree");
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12
src/PyWrap.h
12
src/PyWrap.h
@@ -16,9 +16,6 @@ namespace pywrap {
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static PyWrap* GetInstance();
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static PyWrap* GetInstance();
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void operator=(const PyWrap&) = delete;
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void operator=(const PyWrap&) = delete;
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~PyWrap();
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~PyWrap();
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template<typename T>
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T callMethod(const std::string& moduleName, const std::string& className, const std::string& method);
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std::string callMethodString(const std::string& moduleName, const std::string& className, const std::string& method);
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// template<typename T> T returnMethod(PyObject* result);
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// template<typename T> T returnMethod(PyObject* result);
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// template<std::string> std::string returnMethod(PyObject* result);
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// template<std::string> std::string returnMethod(PyObject* result);
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// template<int> int returnMethod(PyObject* result);
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// template<int> int returnMethod(PyObject* result);
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@@ -29,11 +26,18 @@ namespace pywrap {
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// // at::Tensor& THPVariable_Unpack(PyObject * obj);
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// // at::Tensor& THPVariable_Unpack(PyObject * obj);
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// return THPVariable_Unpack(result);
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// return THPVariable_Unpack(result);
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// };
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// };
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void importClass(const std::string& moduleName, const std::string& className);
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// PyObject* callMethodArgs(const std::string& moduleName, const std::string& className, const std::string& method, PyObject* args);
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void fit(const std::string& moduleName, const std::string& className, PyObject* X, PyObject* y);
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PyObject* predict(const std::string& moduleName, const std::string& className, PyObject* X);
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std::string callMethodString(const std::string& moduleName, const std::string& className, const std::string& method);
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std::string version(const std::string& moduleName, const std::string& className);
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double score(const std::string& moduleName, const std::string& className, PyObject* X, PyObject* y);
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void clean(const std::string& moduleName, const std::string& className);
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void clean(const std::string& moduleName, const std::string& className);
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void importClass(const std::string& moduleName, const std::string& className);
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// void doCommand2();
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// void doCommand2();
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private:
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private:
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PyWrap();
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PyWrap();
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PyObject* getClass(const std::string& moduleName, const std::string& className);
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void errorAbort(const std::string& message);
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void errorAbort(const std::string& message);
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PyStatus initPython();
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PyStatus initPython();
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static PyWrap* wrapper;
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static PyWrap* wrapper;
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@@ -1,11 +1,6 @@
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#include "STree.h"
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#include "STree.h"
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#include <iostream>
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namespace pywrap {
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namespace pywrap {
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void STree::version()
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{
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std::cout << "Version: " << callMethod("version") << std::endl;
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}
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} /* namespace pywrap */
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} /* namespace pywrap */
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@@ -7,7 +7,6 @@ namespace pywrap {
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public:
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public:
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STree() : PyClassifier("stree", "Stree") {};
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STree() : PyClassifier("stree", "Stree") {};
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~STree() = default;
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~STree() = default;
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void version();
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private:
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private:
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};
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};
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@@ -1,11 +1,10 @@
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#include "SVC.h"
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#include "SVC.h"
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#include <iostream>
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namespace pywrap {
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namespace pywrap {
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void SVC::version()
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std::string SVC::version()
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{
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{
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std::cout << "repr_html: " << callMethod("_repr_html_") << std::endl;
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return callMethodString("_repr_html_");
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}
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}
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} /* namespace pywrap */
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} /* namespace pywrap */
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