Оптимизировать многомерную функцию в python с помощью scipy

Question

У меня есть многомерная функция, которую я хотел бы оптимизировать (найти ее минимум) при ограничениях.

Функция:

def f(
 numerical_dropout,
 mixed_dropout3,

 categorical_dim,
 embed_shop_dim ,last_layer_dim,
 last_layer_dropout,
 mixed_dim1,

 embed_category_dim,
 mixed_dropout1,

 embed_item_dim ,
 mixed_dropout2,
mixed_dim3,
 categorical_dropout ,numerical_dim):

    f_ = -2.39 * numerical_dim  + 2.10 * numerical_dropout  -1.95 *embed_category_dim * mixed_dropout3 \
    - 1.93 * embed_category_dim * last_layer_dim +\
     1.75 * categorical_dim +   1.74 * embed_shop_dim * last_layer_dim +  -1.50 * last_layer_dropout + \
     -1.48 * mixed_dim1 +  1.43 * mixed_dim3 +\
     1.39 * embed_category_dim +  1.26*mixed_dropout1 * mixed_dropout3  +  1.24*mixed_dropout1 \
    -1.23 * embed_item_dim * numerical_dim +  \
     1.19 * mixed_dropout2  -1.03  * embed_category_dim * mixed_dim3  + categorical_dropout * numerical_dim

    return(f_)

Ограничения:

   numerical_dropout >0 & <0.7
     mixed_dropout3 >0 & <0.7

     categorical_dim > 4
     embed_shop_dim >4
     last_layer_dim >4
     last_layer_dropout >0 & <0.7
      mixed_dim1 > 4
      embed_category_dim>4
     mixed_dropout1 >0 & <0.7
     embed_item_dim >4
     mixed_dropout2 >0 & <0.7
    mixed_dim3 >4
     categorical_dropout >0 & <0.7
    numerical_dim >4

Откуда я go отсюда?