docstr: Checks if the hyperparameters for the LDA model are correct and fixes them if needed 
docstr_tok: ["Checks","if","the","hyperparameters","for","the","LDA","model","are","correct","and","fixes","them","if","needed"]
code: def check_and_correct_params(self):
      """Checks if the hyperparameters for the LDA model are correct and fixes them if needed"""
      current_solver = self.params.get("solver")
      current_shrinkage = self.params.get("shrinkage")
  
      is_solver_svd = (
          current_solver is not None and current_solver == "svd"
      )
      if is_solver_svd and current_shrinkage is not None:
          # Ignore shrinkage
          self.params.update(shrinkage=None)
          self.model.shrinkage = None
  
file_path: FEDOT/fedot/core/operations/evaluation/operation_implementations/models/discriminant_analysis.py
imports: from typing import Optional
  import numpy
  from sklearn.discriminant_analysis import LinearDiscriminantAnalysis, QuadraticDiscriminantAnalysis
  from fedot.core.operations.evaluation.operation_implementations.implementation_interfaces import ModelImplementation
  from fedot.core.operations.operation_parameters import OperationParameters
label_desc: Use image node_id 3 for calling the LDAImplementation obj's underlying member method code with example usage: obj.check_and_correct_params() without return types