build() takes at most 4 positional arguments (5 given)

[aezzati]

I have the following code, which fives me an error. Is this related to the Jupyter notebook version that I'm using?

random_state = 20

X_train, X_test, y_train, y_test = train_test_split( Xt, y, test_size=0.25, random_state=random_state)

rsf = RandomSurvivalForest(n_estimators=1000, min_samples_split=10, min_samples_leaf=15, max_features="sqrt", n_jobs=-1, random_state=random_state) rsf.fit(X_train, y_train)

TypeError Traceback (most recent call last)

in 5 n_jobs=-1, 6 random_state=random_state) ----> 7 rsf.fit(X_train, y_train) /Applications/anaconda3/lib/python3.8/site-packages/sksurv/ensemble/forest.py in fit(self, X, y, sample_weight) 291 # parallel_backend contexts set at a higher level, 292 # since correctness does not rely on using threads. --> 293 trees = Parallel(n_jobs=self.n_jobs, verbose=self.verbose, 294 **_joblib_parallel_args(prefer='threads'))( 295 delayed(_parallel_build_trees)( /Applications/anaconda3/lib/python3.8/site-packages/joblib/parallel.py in __call__(self, iterable) 1059 1060 with self._backend.retrieval_context(): -> 1061 self.retrieve() 1062 # Make sure that we get a last message telling us we are done 1063 elapsed_time = time.time() - self._start_time /Applications/anaconda3/lib/python3.8/site-packages/joblib/parallel.py in retrieve(self) 938 try: 939 if getattr(self._backend, 'supports_timeout', False): --> 940 self._output.extend(job.get(timeout=self.timeout)) 941 else: 942 self._output.extend(job.get()) /Applications/anaconda3/lib/python3.8/multiprocessing/pool.py in get(self, timeout) 769 return self._value 770 else: --> 771 raise self._value 772 773 def _set(self, i, obj): /Applications/anaconda3/lib/python3.8/multiprocessing/pool.py in worker(inqueue, outqueue, initializer, initargs, maxtasks, wrap_exception) 123 job, i, func, args, kwds = task 124 try: --> 125 result = (True, func(*args, **kwds)) 126 except Exception as e: 127 if wrap_exception and func is not _helper_reraises_exception: /Applications/anaconda3/lib/python3.8/site-packages/joblib/_parallel_backends.py in __call__(self, *args, **kwargs) 593 def __call__(self, *args, **kwargs): 594 try: --> 595 return self.func(*args, **kwargs) 596 except KeyboardInterrupt as e: 597 # We capture the KeyboardInterrupt and reraise it as /Applications/anaconda3/lib/python3.8/site-packages/joblib/parallel.py in __call__(self) 260 # change the default number of processes to -1 261 with parallel_backend(self._backend, n_jobs=self._n_jobs): --> 262 return [func(*args, **kwargs) 263 for func, args, kwargs in self.items] 264 /Applications/anaconda3/lib/python3.8/site-packages/joblib/parallel.py in (.0) 260 # change the default number of processes to -1 261 with parallel_backend(self._backend, n_jobs=self._n_jobs): --> 262 return [func(*args, **kwargs) 263 for func, args, kwargs in self.items] 264 /Applications/anaconda3/lib/python3.8/site-packages/sklearn/ensemble/_forest.py in _parallel_build_trees(tree, forest, X, y, sample_weight, tree_idx, n_trees, verbose, class_weight, n_samples_bootstrap) 167 indices=indices) 168 --> 169 tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False) 170 else: 171 tree.fit(X, y, sample_weight=sample_weight, check_input=False) /Applications/anaconda3/lib/python3.8/site-packages/sksurv/tree/tree.py in fit(self, X, y, sample_weight, check_input, X_idx_sorted) 237 params["min_impurity_split"]) 238 --> 239 builder.build(self.tree_, X, y_numeric, sample_weight, X_idx_sorted) 240 241 return self sklearn/tree/_tree.pyx in sklearn.tree._tree.DepthFirstTreeBuilder.build() TypeError: build() takes at most 4 positional arguments (5 given)

[felipe0216]

I have the same issue and I am using the code suggested by the documentation: https://scikit-survival.readthedocs.io/en/latest/user_guide/random-survival-forest.html

[aezzati]

Actually, I figured out the solution: You need to use the exact same version of Python. I switched to version 3.7 and it solved the issue.