Added documentation for trigger demo
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+4
-4
@@ -13,14 +13,14 @@ enum Backend_Type {
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BACKEND_MariaDB
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};
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struct Config{
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struct Config {
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int running, new_query, server_mode,
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backend_type, has_dll, n_buffers;
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int buffer_sizes[];
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};
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struct Session{
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struct Statistic{
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struct Session {
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struct Statistic {
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unsigned long long total_active;
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unsigned long long cnt_object;
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unsigned long long total_alloc;
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@@ -102,7 +102,7 @@ namespace std {
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}
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#endif
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struct vectortype_storage{
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struct vectortype_storage {
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void* container = nullptr;
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unsigned int size = 0, capacity = 0;
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vectortype_storage(void* container, unsigned int size, unsigned int capacity) :
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+20
-3
@@ -19,7 +19,7 @@ DecisionTree *dt = nullptr;
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RandomForest *rf = nullptr;
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__AQEXPORT__(bool)
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newtree(int ntree, long f, ColRef<int> sparse, double forget, long maxf, long nclasses, Evaluation e)
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newtree(int ntree, long f, ColRef<int> sparse, double forget, long nclasses, Evaluation e)
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{
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if (sparse.size != f)
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return false;
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@@ -27,8 +27,6 @@ newtree(int ntree, long f, ColRef<int> sparse, double forget, long maxf, long nc
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memcpy(X_cpy, sparse.container, f);
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if (maxf < 0)
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maxf = f;
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// dt = new DecisionTree(f, X_cpy, forget, maxf, noclasses, e);
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rf = new RandomForest(ntree, f, X_cpy, forget, nclasses, e, true);
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return true;
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@@ -100,3 +98,22 @@ predict(vector_type<vector_type<double>> v)
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auto ret = vectortype_cstorage{.container = container, .size = 1, .capacity = 0};
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return ret;
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}
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template <typename T>
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constexpr T sq(const T x) {
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return x * x;
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}
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__AQEXPORT__(double)
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test(vector_type<vector_type<double>> x, vector_type<long> y) {
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int result = 0;
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printf("y_hat = (");
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double err = 0.;
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for (uint32_t i = 0; i < x.size; i++) {
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//result[i] = dt->Test(v.container[i].container, dt->DTree);
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result = int(rf->Test(x[i].container));
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err += sq(result - y.container[i]);
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printf("%d ", result);
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}
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puts(")");
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printf("error: %lf\n", err/=double(x.size));
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return err;
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}
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