Traceback (most recent call last):


 "C:\ProgramData\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 3325, in run_code

exec(code_obj, self.user_global_ns, self.user_ns)


 "<ipython-input-23-b0953fbb1d6e>", line 1, in <module>

clf.fit(X, y)


 "C:\ProgramData\Anaconda3\lib\site-packages\sklearn\svm\classes.py", line 237, in fit

self.loss, sample_weight=sample_weight)


 "C:\ProgramData\Anaconda3\lib\site-packages\sklearn\svm\base.py", line 917, in _fit_liblinear

solver_type = _get_liblinear_solver_type(multi_class, penalty, loss, dual)


 "C:\ProgramData\Anaconda3\lib\site-packages\sklearn\svm\base.py", line 773, in _get_liblinear_solver_type

% (error_string, penalty, loss, dual))
ValueError: Unsupported set of arguments: The combination of penalty='l1' and loss='hinge' is not supported, Parameters: penalty='l1', loss='hinge', dual=False

Traceback (most recent call last):


 "/home/admin615/anaconda3/envs/gym_torch/lib/python3.6/multiprocessing/process.py", line 258, in _bootstrap

self.run()


 "/home/admin615/anaconda3/envs/gym_torch/lib/python3.6/multiprocessing/process.py", line 93, in run

self._target(*self._args, **self._kwargs)


 "/home/admin615/gym_work/tianshou/tianshou/env/worker/subproc.py", line 36, in _worker

obs, reward, done, info = env.step(data)


 "/home/admin615/gym_work/tianshou/examples/FOC_ENV.py", line 192, in step

self.obs_s,done =
self.get_observation()


 "/home/admin615/gym_work/tianshou/examples/FOC_ENV.py", line 153, in get_observation

self.time_obs =float(self.data_all_s[0])
ValueError: could not convert string to float: 
