class_docstr: A general minimizer for curve fitting and optimization.
class_docstr_tok: ["A","general","minimizer","for","curve","fitting","and","optimization","."]
docstr: Clean fit state.
  
  This methods Removes AST compilations of constraint expressions.
  Subsequent fits will need to call prepare_fit().
docstr_tok: ["Clean","fit","state",".","This","methods","Removes","AST","compilations","of","constraint","expressions",".","Subsequent","fits","will","need","to","call","prepare_fit","(",")","."]
code: def unprepare_fit(self):
      """Clean fit state.
  
      This methods Removes AST compilations of constraint expressions.
      Subsequent fits will need to call prepare_fit().
  
  
      """
  
imports: from collections import namedtuple
  from copy import deepcopy
  import inspect
  import multiprocessing
  import numbers
  import warnings
  import numpy
  from scipy.linalg import LinAlgError, inv
  from scipy.optimize import basinhopping
  from scipy.optimize import brute
  from scipy.optimize import differential_evolution
  from scipy.optimize import dual_annealing
  from scipy.optimize import least_squares
  from scipy.optimize import leastsq
  from scipy.optimize import minimize
  from scipy.optimize import shgo
  from scipy.sparse import issparse
  from scipy.sparse.linalg import LinearOperator
  from scipy.stats import cauchy
  from scipy.stats import norm
  from ._ampgo import ampgo
  from .parameter import Parameter, Parameters
  from .printfuncs import fitreport_html_table
label_desc: Use image node_id 8 for calling the Minimizer obj's underlying member method code with example usage: obj.unprepare_fit() without return types