hyperopt_space.py

SPACE = OrderedDict([('learning_rate', hp.loguniform('learning_rate', 
                                                     np.log(0.01), np.log(0.5))),
                    ('max_depth', hp.choice('max_depth', range(1, 30, 1))),
                    ('num_leaves', hp.choice('num_leaves', range(2, 100, 1))),
                    ('min_data_in_leaf', hp.choice('min_data_in_leaf', 
                                                  range(10, 1000, 1))),
                    ('feature_fraction', hp.uniform('feature_fraction', 0.1, 1.0)),
                    ('subsample', hp.uniform('subsample', 0.1, 1.0))
                    ])