Closed
Description
Description
Type Error when saving to file Kernel Density Estimation with sample weight
Steps/Code to Reproduce
Example:
import numpy as np
from sklearn.neighbors import KernelDensity
data = np.reshape([1., 2., 3., 1., 2., 3.], (-1, 2))
kde = KernelDensity(bandwidth=0.3)
kde.fit(data, sample_weight=[0.1,0.2,0.3])
from sklearn.externals import joblib
joblib.dump(kde, './test_kde.pkl')Omitting sample_weight=[0.1,0.2,0.3] works.
Expected Results
No error is thrown.
Actual Results
/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/sklearn/externals/joblib/numpy_pickle.py in save(self, obj)
290 return
291
--> 292 return Pickler.save(self, obj)
293
294
/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/pickle.py in save(self, obj, save_persistent_id)
494 reduce = getattr(obj, "__reduce_ex__", None)
495 if reduce is not None:
--> 496 rv = reduce(self.proto)
497 else:
498 reduce = getattr(obj, "__reduce__", None)
/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/sklearn/neighbors/kd_tree.cpython-36m-darwin.so in View.MemoryView._memoryviewslice.__reduce_cython__()
TypeError: no default __reduce__ due to non-trivial __cinit__
Versions
System:
python: 3.6.0 (v3.6.0:41df79263a11, Dec 22 2016, 17:23:13) [GCC 4.2.1 (Apple Inc. build 5666) (dot 3)]
executable: /Library/Frameworks/Python.framework/Versions/3.6/bin/python3
machine: Darwin-15.6.0-x86_64-i386-64bit
BLAS:
macros: NO_ATLAS_INFO=3, HAVE_CBLAS=None
lib_dirs:
cblas_libs: cblas
Python deps:
pip: 9.0.1
setuptools: 28.8.0
sklearn: 0.20.3
numpy: 1.16.2
scipy: 1.2.1
Cython: None
pandas: 0.20.1