Source code for optunaz.utils.enums.configuration_enum

[docs]class ConfigurationEnum: """This "Enum" serves to store all the strings used in parsing all configurations. Note, that validity checks are not performed, but referred to JSON Schema validations.""" # all that are general keywords GENERAL_DISABLED = "disabled" GENERAL_PARAMETERS = "parameters" # all that has to do with the actual task # --------- TASK = "task" TASK_OPTIMIZATION = "optimization" TASK_BUILDING = "building" # all that has to do with data IO # --------- DATA = "data" DATA_INPUTCOLUMN = "input_column" DATA_RESPONSECOLUMN = "response_column" DATA_TRAINING = "training" DATA_TEST = "test" # all that has to do with descriptor calculation # --------- DESCRIPTORS = "descriptors" # Avalon DESCRIPTORS_AVALON = "Avalon" DESCRIPTORS_AVALON_NBITS = "nBits" # ECFP DESCRIPTORS_ECFP = "ECFP" DESCRIPTORS_ECFP_RADIUS = "radius" DESCRIPTORS_ECFP_NBITS = "nBits" # ECFP_counts DESCRIPTORS_ECFPCOUNTS = "ECFP_counts" DESCRIPTORS_ECFPCOUNTS_RADIUS = "radius" DESCRIPTORS_ECFPCOUNTS_USEFEATURES = "useFeatures" # PathFP DESCRIPTORS_PATHFP = "PathFP" DESCRIPTORS_PATHFP_MAXPATH = "maxPath" DESCRIPTORS_PATHFP_FPSIZE = "fpSize" # MACCS_keys DESCRIPTORS_MACCSKEYS = "MACCS_keys" # Physchem DESCRIPTORS_UNSC_PHYSCHEM = "UnscaledPhyschemDescriptors" DESCRIPTORS_PHYSCHEM = "PhyschemDescriptors" DESCRIPTORS_PHYSCHEM_RDKITNAMES = "rdkit_names" # AMORPROT DESCRIPTORS_AMORPROT = "AmorProtDescriptors" # MAPC DESCRIPTORS_UNSC_MAPC = "UnscaledMAPC" DESCRIPTORS_MAPC = "MAPC" DESCRIPTORS_MAPC_MAXRADIUS = "maxRadius" DESCRIPTORS_MAPC_NPERMUTATIONS = "nPermutations" # Jazzy DESCRIPTORS_UNSC_JAZZY = "UnscaledJazzyDescriptors" DESCRIPTORS_JAZZY = "JazzyDescriptors" DESCRIPTORS_JAZZY_JAZZYNAMES = "jazzy_names" # Precomputed DESCRIPTORS_PRECOMPUTED = "PrecomputedDescriptorFromFile" DESCRIPTORS_PRECOMPUTED_FILE = "file" DESCRIPTORS_PRECOMPUTED_INPUT_COLUMNN = "input_column" DESCRIPTORS_PRECOMPUTED_RESPONSE_COLUMN = "response_column" # ZScales DESCRIPTORS_UNSC_ZSCALES = "UnscaledZScalesDescriptors" DESCRIPTORS_ZSCALES = "ZScalesDescriptors" # Smiles DESCRIPTORS_SMILES = "SmilesFromFile" DESCRIPTORS_SMILES_AND_SI = "SmilesAndSideInfoFromFile" DESCRIPTORS_SMILES_AND_SI_FILE = "file" DESCRIPTORS_SMILES_AND_SI_INPUT_COLUMN = "input_column" DESCRIPTORS_SMILES_AND_SI_AUX_WEIGHT_PC = "aux_weight_pc" # Scaled DESCRIPTORS_SCALED = "ScaledDescriptor" DESCRIPTORS_SCALED_DESCRIPTOR = "descriptor" DESCRIPTORS_SCALED_DESCRIPTOR_PARAMETERS = "parameters" # Composite DESCRIPTORS_COMPOSITE = "CompositeDescriptor" # all that has to do with general optimization parameters # --------- SETTINGS = "settings" SETTINGS_MODE = "mode" SETTINGS_MODE_REGRESSION = "regression" SETTINGS_MODE_CLASSIFICATION = "classification" SETTINGS_CROSS_VALIDATION = "cross_validation" SETTINGS_DIRECTION = "direction" SETTINGS_N_TRIALS = "n_trials" SETTINGS_N_JOBS = "n_jobs" SETTINGS_SHUFFLE = "shuffle" # all that has to do with algorithms, general keywords # --------- ALGORITHMS = "algorithms" ALGORITHMS_LOW = "low" ALGORITHMS_HIGH = "high" ALGORITHMS_Q = "q" # different interfaces available ALGORITHMS_INTERFACE_SKLEARN = "sklearn" ALGORITHMS_INTERFACE_XGBOOST = "xgboost" # algorithm: RandomForest specific ALGORITHMS_RFREGRESSOR = "RandomForestRegressor" ALGORITHMS_RFCLASSIFIER = "RandomForestClassifier" ALGORITHMS_RF_MAX_FEATURES = "max_features" ALGORITHMS_RF_MAX_DEPTH = "max_depth" ALGORITHMS_RF_N_ESTIMATORS = "n_estimators" # algorithm: SVR ALGORITHMS_SVR = "SVR" ALGORITHMS_SVR_C = "C" ALGORITHMS_SVR_GAMMA = "gamma" # algorithm: SVC ALGORITHMS_SVC = "SVC" ALGORITHMS_SVC_C = "C" ALGORITHMS_SVC_GAMMA = "gamma" # algorithm: Lasso ALGORITHMS_LASSO = "Lasso" ALGORITHMS_LASSO_ALPHA = "alpha" # algorithm: KNeighbors ALGORITHMS_KNEIGHBORSCLASSIFIER = "KNeighborsClassifier" ALGORITHMS_KNEIGHBORSREGRESSOR = "KNeighborsRegressor" ALGORITHMS_KNEIGHBORS_N_NEIGHBORS = "n_neighbors" ALGORITHMS_KNEIGHBORS_METRIC = "metric" ALGORITHMS_KNEIGHBORS_WEIGHTS = "weights" # algorithm: Ridge ALGORITHMS_RIDGE = "Ridge" ALGORITHMS_RIDGE_ALPHA = "alpha" # algorithm: PLSRegression ALGORITHMS_PLSREGRESSION = "PLSRegression" ALGORITHMS_PLSREGRESSION_N_COMPONENTS = "n_components" # algorithm: LogisticRegression ALGORITHMS_LOGISTICREGRESSION = "LogisticRegression" ALGORITHMS_LOGISTICREGRESSION_SOLVER = "solver" ALGORITHMS_LOGISTICREGRESSION_C = "C" # algorithm: AdaBoostClassifier ALGORITHMS_ADABOOSTCLASSIFIER = "AdaBoostClassifier" ALGORITHMS_ADABOOSTCLASSIFIER_N_ESTIMATORS = "n_estimators" ALGORITHMS_ADABOOSTCLASSIFIER_LEARNING_RATE = "learning_rate" # algorithm: XGBregressor specific ALGORITHMS_XGBREGRESSOR = "XGBregressor" ALGORITHMS_XGBREGRESSOR_MAX_DEPTH = "max_depth" ALGORITHMS_XGBREGRESSOR_N_ESTIMATORS = "n_estimators" ALGORITHMS_XGBREGRESSOR_LEARNING_RATE = "learning_rate" # algorithm: ProbabilisticRandomForest specific ALGORITHMS_PRF = "PRFClassifier" ALGORITHMS_PRF_MAX_FEATURES = "max_features" ALGORITHMS_PRF_MAX_DEPTH = "max_depth" ALGORITHMS_PRF_N_ESTIMATORS = "n_estimators" ALGORITHMS_PRF_MINPYSUMLEAF = "min_py_sum_leaf" ALGORITHMS_PRF_USE_PY_GINI = "use_py_gini" ALGORITHMS_PRF_USE_PY_LEAFS = "use_py_leafs" # algorithm: ChemProp specific ALGORITHMS_CHEMPROP = "BaseChemProp" ALGORITHMS_CHEMPROP_REGRESSOR = "ChemPropRegressor" ALGORITHMS_CHEMPROP_HYPEROPT_REGRESSOR = "ChemPropHyperoptRegressor" ALGORITHMS_CHEMPROP_CLASSIFIER = "ChemPropClassifier" ALGORITHMS_CHEMPROP_HYPEROPT_CLASSIFIER = "ChemPropHyperoptClassifier" ALGORITHMS_CHEMPROP_ACTIVATION = "activation" ALGORITHMS_CHEMPROP_AGGREGATION = "aggregation" ALGORITHMS_CHEMPROP_AGGREGATION_NORM = "aggregation_norm" ALGORITHMS_CHEMPROP_BATCH_SIZE = "batch_size" ALGORITHMS_CHEMPROP_DEPTH = "depth" ALGORITHMS_CHEMPROP_DROPOUT = "dropout" ALGORITHMS_CHEMPROP_EPOCHS = "epochs" ALGORITHMS_CHEMPROP_ENSEMBLE_SIZE = "ensemble_size" ALGORITHMS_CHEMPROP_FEATURES_GENERATOR = "features_generator" ALGORITHMS_CHEMPROP_FFN_HIDDEN_SIZE = "ffn_hidden_size" ALGORITHMS_CHEMPROP_FFN_NUM_LAYERS = "ffn_num_layers" ALGORITHMS_CHEMPROP_FRZN = "frzn" ALGORITHMS_CHEMPROP_FINAL_LR_RATIO_EXP = "final_lr_ratio_exp" ALGORITHMS_CHEMPROP_HIDDEN_SIZE = "hidden_size" ALGORITHMS_CHEMPROP_NUM_ITERS = "num_iters" ALGORITHMS_CHEMPROP_INIT_LR_RATIO_EXP = "init_lr_ratio_exp" ALGORITHMS_CHEMPROP_MAX_LR_EXP = "max_lr_exp" ALGORITHMS_CHEMPROP_PRETRAINED_MODEL = "pretrained_model" ALGORITHMS_CHEMPROP_SEARCH_PARAMETER_LEVEL = "search_parameter_level" ALGORITHMS_CHEMPROP_STARTUP_RANDOM_ITERS = "startup_random_iters" ALGORITHMS_CHEMPROP_WARMUP_EPOCHS_RATIO = "warmup_epochs_ratio" # algorithm: CalibratedClassifierCV specific ALGORITHMS_CALIBRATEDCLASSIFIERCV = "CalibratedClassifierCVWithVA" ALGORITHMS_CALIBRATEDCLASSIFIERCV_ENSEMBLE = "ensemble" ALGORITHMS_CALIBRATEDCLASSIFIERCV_ESTIMATOR = "estimator" ALGORITHMS_CALIBRATEDCLASSIFIERCV_METHOD = "method" ALGORITHMS_CALIBRATEDCLASSIFIERCV_N_FOLDS = "n_folds" ALGORITHMS_CALIBRATEDCLASSIFIERCV_PARAMS = "calibrated_params" # algorithm: Mapie specific ALGORITHMS_MAPIE = "Mapie" ALGORITHMS_MAPIE_ALPHA = "mapie_alpha" # try to find the internal value and return def __getattr__(self, name): if name in self: return name raise AttributeError # prohibit any attempt to set any values def __setattr__(self, key, value): raise ValueError("No changes allowed.")