code: from utils import constant
  from sklearn import svm
  from sklearn.svm import SVC
  from sklearn.linear_model import LogisticRegression
  from xgboost import XGBClassifier
  
  
  def get_classifier(ty="LR", c=1.0, max_depth=5, n_estimators=300, gamma=0):
      if(ty=="LR"):
          classifier = LogisticRegression(solver='lbfgs',multi_class='multinomial', C=c)
      elif(ty=="SVM"):
          classifier = SVC(kernel='linear')
      elif(ty=="XGB"):
          classifier = XGBClassifier(max_depth=max_depth, n_estimators=n_estimators, gamma=gamma, n_jobs=4, tree_method="gpu_hist") ## change later ##
      return classifier
apis: sklearn.svm.SVC sklearn.linear_model.LogisticRegression