Implement Tunable from_dict

[pvk-developer]

Create a function that recieves as an input python dict with information about hyperparameters.
This function will create an instance of a btb.tunable.Tunable in order to be used by the Tuner.

Input example would be:

from btb.tuning.tunable import Tunable

hyperparams = {
    "n_estimators": {
        "type": "int",
        "default": 10,
        "range": [
            1,
            500
        ]
    },
    "min_weight_fraction_leaf": {
        "type": "float",
        "default": 0.0,
        "range": [
            0.0,
            0.5
        ]
    },
    "criterion": {
        "type": "str",
        "default": "gini",
        "values": [
            "entropy",
            "gini"
        ]
    },
    "max_features": {
        "type": "str",
        "default": None,
        "values": [
            None,
            "auto",
            "log2",
            "sqrt"
        ]
    },
    "bootstrap": {
        "type": "bool",
        "default": True,
    },
}

tunable = Tunable.from_dict(hyperparams)