c684570dffed1f54d0afd5ef4b6ff44e2ddad9e5,hpsklearn/components.py,,decision_tree,#,997

Before Change

    def _name(msg):
        return "%s.%s_%s" % (name, "sgd", msg)

    rval = scope.sklearn_DecisionTreeClassifier(
        criterion=hp.choice(
            _name("criterion"),
            ["gini", "entropy"]) if criterion is None else criterion,
        splitter=hp.choice(
            _name("splitter"),
            ["best", "random"]) if splitter is None else splitter,
        max_features=hp.choice(
            _name("max_features"),
            ["sqrt", "log2",
             None]) if max_features is None else max_features,
        max_depth=max_depth,
        min_samples_split=hp.quniform(
            _name("min_samples_split"),
            1, 10, 1) if min_samples_split is None else min_samples_split,
        min_samples_leaf=hp.quniform(
            _name("min_samples_leaf"),
            1, 5, 1) if min_samples_leaf is None else min_samples_leaf,
        presort=presort,
        random_state=_random_state(_name("rstate"), random_state),
        )

After Change

    def _name(msg):
        return "%s.%s_%s" % (name, "sgd", msg)

    rval = scope.sklearn_DecisionTreeClassifier(
        criterion=hp.choice(
            _name("criterion"),
            ["gini", "entropy"]) if criterion is None else criterion,
        splitter=hp.choice(
            _name("splitter"),
            ["best", "random"]) if splitter is None else splitter,
        max_features=hp.choice(
            _name("max_features"),
            ["sqrt", "log2",
             None]) if max_features is None else max_features,
        max_depth=max_depth,
        min_samples_split=scope.int(hp.quniform(
            _name("min_samples_split"),
            1, 10, 1)) if min_samples_split is None else min_samples_split,
        min_samples_leaf=scope.int(hp.quniform(
            _name("min_samples_leaf"),
            1, 5, 1)) if min_samples_leaf is None else min_samples_leaf,
        presort=presort,
        random_state=_random_state(_name("rstate"), random_state),
        )

Instances