Re-add multi-objective example

Author: Sarah Krebs

logs/SMAC3v2/multi-objective/run_1/configspace.json

@@ -0,0 +1 @@
+{"name": null, "hyperparameters": [{"type": "categorical", "name": "activation", "choices": ["logistic", "tanh", "relu"], "weights": null, "default_value": "tanh", "meta": null}, {"type": "uniform_int", "name": "n_layer", "lower": 1, "upper": 5, "default_value": 3, "log": false, "meta": null}, {"type": "uniform_int", "name": "n_neurons", "lower": 8, "upper": 256, "default_value": 128, "log": true, "meta": null}, {"type": "categorical", "name": "solver", "choices": ["lbfgs", "sgd", "adam"], "weights": null, "default_value": "adam", "meta": null}, {"type": "uniform_int", "name": "batch_size", "lower": 30, "upper": 300, "default_value": 200, "log": false, "meta": null}, {"type": "categorical", "name": "learning_rate", "choices": ["constant", "invscaling", "adaptive"], "weights": null, "default_value": "constant", "meta": null}, {"type": "uniform_float", "name": "learning_rate_init", "lower": 0.0001, "upper": 1.0, "default_value": 0.001, "log": true, "meta": null}], "conditions": [{"type": "IN", "child": "batch_size", "parent": "solver", "values": ["sgd", "adam"]}, {"type": "EQ", "child": "learning_rate", "parent": "solver", "value": "sgd"}, {"type": "IN", "child": "learning_rate_init", "parent": "solver", "values": ["sgd", "adam"]}], "forbiddens": [], "python_module_version": "1.1.3", "format_version": 0.4}