| model_config | | default: [{"estimator": ["sklearn.linear_model.LogisticRegression", {"n_jobs": -1, "penalty": "l2", "random_state": 4}], "params": {"!@preprocessor": [null, ["sklearn.preprocessing.StandardScaler", {}]], "C": [0.0001, 0.001, 0.01, 0.1, 0.5, 1.0, 5.0, 10.0, 15.0, 20.0, 25.0], "dual": [true, false]}}, {"estimator": ["sklearn.ensemble.RandomForestClassifier", {"n_estimators": 512, "n_jobs": -1, "random_state": 4}], "params": {"!@preprocessor": [null, ["sklearn.preprocessing.OneHotEncoder", {"categorical_features": [true, false, true, true, false, true, true, false, true, true, false, true, false, true, true, false, true, false, true, true], "handle_unknown": "ignore", "sparse": false}], ["sklearn.decomposition.PCA", {}]], "bootstrap": [true, false], "criterion": ["gini", "entropy"], "max_depth": [8, 9, 10, 11, 12, null], "max_features": [0.05, 0.1, 0.15000000000000002, 0.2, 0.25, 0.3, 0.35000000000000003, 0.4, 0.45], "min_samples_leaf": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], "min_samples_split": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]}}, {"estimator": ["sklearn.ensemble.ExtraTreesClassifier", {"n_estimators": 512, "n_jobs": -1, "random_state": 4}], "params": {"!@preprocessor": [null, ["sklearn.preprocessing.OneHotEncoder", {"categorical_features": [true, false, true, true, false, true, true, false, true, true, false, true, false, true, true, false, true, false, true, true], "handle_unknown": "ignore", "sparse": false}], ["sklearn.decomposition.PCA", {}]], "bootstrap": [true, false], "criterion": ["gini", "entropy"], "max_depth": [8, 9, 10, 11, 12, null], "max_features": [0.05, 0.1, 0.15000000000000002, 0.2, 0.25, 0.3, 0.35000000000000003, 0.4, 0.45], "min_samples_leaf": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], "min_samples_split": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]}}, {"estimator": ["sklearn.svm.SVC", {"probability": true, "random_state": 4}], "params": {"!@preprocessor": [null, ["sklearn.preprocessing.StandardScaler", {}]], "C": [0.0009765625, 0.001953125, 0.00390625, 0.0078125, 0.015625, 0.03125, 0.0625, 0.125, 0.25, 0.5, 1.0, 2.0, 4.0, 8.0, 16.0, 32.0, 64.0, 128.0, 256.0, 512.0, 1024.0], "gamma": [0.0009765625, 0.001953125, 0.00390625, 0.0078125, 0.015625, 0.03125, 0.0625, 0.125, 0.25, 0.5, 1.0], "kernel": ["linear", "poly", "rbf"]}}, {"estimator": ["sklearn.ensemble.GradientBoostingClassifier", {"n_estimators": 512, "random_state": 4}], "params": {"!@preprocessor": [null], "learning_rate": [0.001, 0.003, 0.01, 0.03, 0.1, 0.3, 1], "max_depth": [1, 2, 3]}}, {"estimator": ["sklearn.tree.ExtraTreeClassifier", {"max_depth": null, "random_state": 4}], "params": {"!@preprocessor": [null, ["sklearn.preprocessing.OneHotEncoder", {"categorical_features": [true, false, true, true, false, true, true, false, true, true, false, true, false, true, true, false, true, false, true, true], "handle_unknown": "ignore", "sparse": false}]], "criterion": ["gini", "entropy"], "max_features": [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, null]}}, {"estimator": ["sklearn.ensemble.AdaBoostClassifier", {"!base_estimator": ["sklearn.tree.DecisionTreeClassifier", {}], "random_state": 4}], "params": {"!@preprocessor": [null], "algorithm": ["SAMME", "SAMME.R"], "learning_rate": [0.001, 0.003, 0.01, 0.03, 0.1, 0.3, 1], "n_estimators": [4, 8, 16, 32, 64, 128, 256, 512]}}, {"estimator": ["sklearn.neural_network.MLPClassifier", {"max_iter": 500, "random_state": 4}], "params": {"!@preprocessor": [null, ["sklearn.preprocessing.StandardScaler", {}], [["sklearn.preprocessing.OneHotEncoder", {"categorical_features": [true, false, true, true, false, true, true, false, true, true, false, true, false, true, true, false, true, false, true, true], "handle_unknown": "ignore", "sparse": false}], ["sklearn.preprocessing.StandardScaler", {}]]], "activation": ["relu", "tanh", "logistic"], "alpha": [1e-05, 0.0001, 0.001], "hidden_layer_sizes": [[100], [100, 100], [100, 100, 100]], "learning_rate": ["constant", "adaptive"], "solver": ["lbfgs", "adam"]}}, {"estimator": ["sklearn.svm.NuSVC", {"probability": true, "random_state": 4}], "params": {"!@preprocessor": [null, ["sklearn.preprocessing.StandardScaler", {}]], "kernel": ["linear", "poly", "rbf"], "nu": [0.3, 0.4, 0.5], "tol": [0.001, 0.001, 0.01, 0.1]}}] |