def __init__(self, *args, **kwargs):
        # Cherrypick arguments for model. Exclude 'steps', which is pipeline argument
        local_kwargs = {key: kwargs.pop(key) for key in kwargs.keys() if key != 'steps' and len(key.split('__', 1)) == 1}
        self.pipeline = Pipeline([('empty_dims_remover', VarianceThreshold()),
                                  ('scaler', StandardScaler()),
                                  ('neural_network', _ffnet_sklearned(*args, **local_kwargs))
                                 ]).set_params(**kwargs)
Starts the plugin.
dataset/ETHPy150Open oddt/oddt/oddt/scoring/models/regressors.py/neuralnetwork.__init__--crossover with--dataset/ETHPy150Open enthought/envisage/envisage/ui/single_project/project_plugin.py/ProjectPlugin.start