text: # Copyright 1999-2021 Alibaba Group Holding Ltd.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #      http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  import numpy as np
  import joblib
  from sklearn.datasets import load_digits
  from sklearn.model_selection import RandomizedSearchCV
  from sklearn.svm import SVC
  
  from .. import register_mars_backend
  
  register_mars_backend()
  
  
  def test_sk_learn_svc_train(setup):
      digits = load_digits()
      param_space = {
          'C': np.logspace(-6, 6, 30),
          'gamma': np.logspace(-8, 8, 30),
          'tol': np.logspace(-4, -1, 30),
          'class_weight': [None, 'balanced'],
      }
      model = SVC(kernel='rbf')
      search = RandomizedSearchCV(model, param_space, cv=5, n_iter=5, verbose=10)
  
      with joblib.parallel_backend('mars', n_parallel=16):
          search.fit(digits.data, digits.target)
  