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pythonscipyscipy-optimizescipy-optimize-minimize
madmatrix
madmatrix

Reputation: 265

Running SciPy Optimizer Dual Annealing

What is the correct way to call dual_annealing scipy optimizer?

Tried both the variants, neither of them works.

import scipy.optimize as spo

optimizer_fn = 'spo.dual_annealing'
optimizer = eval(optimizer_fn)

def func(params, y, penalty_list=None):
    <more code here>

args = [df_1, df_2, df_3, df_4, df_5, name]

optimizer(func, 
          bounds=[(0, 1)] * len(df_values),
          args=args,
          options={"maxiter": budget})

TypeError: dual_annealing() got an unexpected keyword argument 'options'

args = [df_1, df_2, df_3, df_4, df_5, name]
optimizer(func,
          bounds=[(0, 1)] * len(df_values),
          args=args,
          maxiter=budget)

TypeError: objective_function() takes from 2 to 3 positional arguments but 7 were given

Upvotes: 1

Views: 45

Answers (0)

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