Fix gridsearch discretize_algo mistake
This commit is contained in:
@@ -24,7 +24,14 @@ The solution is to erase the libstdc++ library from the miniconda installation a
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### MPI
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### MPI
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In Linux just install openmpi & openmpi-devel packages. Only if cmake can't find openmpi installation (like in Oracle Linux) set the following variable:
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In Linux just install openmpi & openmpi-devel packages.
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```bash
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source /etc/profile.d/modules.sh
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module load mpi/openmpi-x86_64
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```
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If cmake can't find openmpi installation (like in Oracle Linux) set the following variable:
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```bash
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```bash
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export MPI_HOME="/usr/lib64/openmpi"
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export MPI_HOME="/usr/lib64/openmpi"
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Submodule lib/Files updated: a4329f5f9d...a5316928d4
Submodule lib/argparse updated: cbd9fd8ed6...e462ab980c
Submodule lib/catch2 updated: 506276c592...4e8d92bf02
2
lib/json
2
lib/json
Submodule lib/json updated: 378e091795...960b763ecd
Submodule lib/libxlsxwriter updated: 6f2ac4af23...cf887d65ce
1
lib/mdlp
Submodule
1
lib/mdlp
Submodule
Submodule lib/mdlp added at 2db60e007d
@@ -8,7 +8,7 @@ namespace platform {
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Datasets::Datasets(bool discretize, std::string sfileType, std::string discretizer_algorithm) :
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Datasets::Datasets(bool discretize, std::string sfileType, std::string discretizer_algorithm) :
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discretize(discretize), sfileType(sfileType), discretizer_algorithm(discretizer_algorithm)
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discretize(discretize), sfileType(sfileType), discretizer_algorithm(discretizer_algorithm)
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{
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{
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if (discretizer_algorithm == "none" && discretize) {
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if ((discretizer_algorithm == "none" || discretizer_algorithm == "") && discretize) {
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throw std::runtime_error("Can't discretize without discretization algorithm");
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throw std::runtime_error("Can't discretize without discretization algorithm");
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}
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}
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load();
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load();
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@@ -108,6 +108,7 @@ namespace platform {
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// Generate the hyperparamters combinations
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// Generate the hyperparamters combinations
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auto& dataset = datasets.getDataset(dataset_name);
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auto& dataset = datasets.getDataset(dataset_name);
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auto combinations = grid.getGrid(dataset_name);
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auto combinations = grid.getGrid(dataset_name);
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dataset.load();
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auto [X, y] = dataset.getTensors();
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auto [X, y] = dataset.getTensors();
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auto features = dataset.getFeatures();
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auto features = dataset.getFeatures();
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auto className = dataset.getClassName();
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auto className = dataset.getClassName();
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@@ -353,7 +354,8 @@ namespace platform {
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tasks = json::parse(msg);
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tasks = json::parse(msg);
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delete[] msg;
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delete[] msg;
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auto env = platform::DotEnv();
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auto env = platform::DotEnv();
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auto datasets = Datasets(config.discretize, Paths::datasets(), env.get("discretiz_algo"));
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auto datasets = Datasets(config.discretize, Paths::datasets(), env.get("discretize_algo"));
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if (config_mpi.rank == config_mpi.manager) {
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if (config_mpi.rank == config_mpi.manager) {
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//
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//
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// 2a. Producer delivers the tasks to the consumers
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// 2a. Producer delivers the tasks to the consumers
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@@ -24,8 +24,8 @@ namespace platform {
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+ " random seeds. " + data["date"].get<std::string>() + " " + data["time"].get<std::string>()
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+ " random seeds. " + data["date"].get<std::string>() + " " + data["time"].get<std::string>()
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);
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);
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sheader << headerLine(data["title"].get<std::string>());
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sheader << headerLine(data["title"].get<std::string>());
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std::string discretiz_algo = data.find("discretization_algorithm") != data.end() ? data["discretization_algorithm"].get<std::string>() : "ORIGINAL";
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std::string discretize_algo = data.find("discretization_algorithm") != data.end() ? data["discretization_algorithm"].get<std::string>() : "ORIGINAL";
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std::string algorithm = data["discretized"].get<bool>() ? " (" + discretiz_algo + ")" : "";
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std::string algorithm = data["discretized"].get<bool>() ? " (" + discretize_algo + ")" : "";
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std::string smooth = data.find("smooth_strategy") != data.end() ? data["smooth_strategy"].get<std::string>() : "ORIGINAL";
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std::string smooth = data.find("smooth_strategy") != data.end() ? data["smooth_strategy"].get<std::string>() : "ORIGINAL";
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std::string stratified;
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std::string stratified;
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try {
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try {
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@@ -68,8 +68,8 @@ namespace platform {
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worksheet_merge_range(worksheet, 3, 10, 3, 11, oss.str().c_str(), styles["headerSmall"]);
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worksheet_merge_range(worksheet, 3, 10, 3, 11, oss.str().c_str(), styles["headerSmall"]);
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oss.str("");
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oss.str("");
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oss.clear();
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oss.clear();
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std::string discretiz_algo = data.find("discretization_algorithm") != data.end() ? data["discretization_algorithm"].get<std::string>() : "mdlp";
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std::string discretize_algo = data.find("discretization_algorithm") != data.end() ? data["discretization_algorithm"].get<std::string>() : "mdlp";
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std::string algorithm = data["discretized"].get<bool>() ? " (" + discretiz_algo + ")" : "";
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std::string algorithm = data["discretized"].get<bool>() ? " (" + discretize_algo + ")" : "";
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oss << "Discretized: " << (data["discretized"].get<bool>() ? "True" : "False") << algorithm;
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oss << "Discretized: " << (data["discretized"].get<bool>() ? "True" : "False") << algorithm;
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worksheet_write_string(worksheet, 3, 12, oss.str().c_str(), styles["headerSmall"]);
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worksheet_write_string(worksheet, 3, 12, oss.str().c_str(), styles["headerSmall"]);
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}
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}
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