Flow
optimus.multi_optimizer2.MultiOptimizer

optimus.multi_optimizer2.MultiOptimizer

Visibility: public Uploaded 18-05-2017 by Jeroen van Hoof sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 1 runs
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  • Verified_Supervised_Classification
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Automatically created scikit-learn flow.

Parameters

encoded_model_configdefault: [{"estimator": ["sklearn.linear_model.LogisticRegression", {"n_jobs": -1, "penalty": "l2", "random_state": 3}], "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.tree.ExtraTreeClassifier", {"max_depth": null, "random_state": 3}], "params": {"!@preprocessor": [null, ["sklearn.preprocessing.OneHotEncoder", {"categorical_features": [true, true, true, true, true, true, true, 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]}}]
inner_cvdefault: 3
max_eval_timedefault: 150
max_retriesdefault: 3
n_prep_roundsdefault: "auto"
n_roundsdefault: 10
scoringdefault: "accuracy"
use_ei_per_seconddefault: false
verbosedefault: true

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