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2 changes: 1 addition & 1 deletion dislib/classification/knn/base.py
Original file line number Diff line number Diff line change
Expand Up @@ -53,7 +53,7 @@ class KNeighborsClassifier(BaseEstimator):
but different labels, the results will depend on the ordering of the
training data.
https://en.wikipedia.org/wiki/K-nearest_neighbor_algorithm

Examples
--------
>>> import dislib as ds
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7 changes: 5 additions & 2 deletions dislib/data/array.py
Original file line number Diff line number Diff line change
Expand Up @@ -12,6 +12,7 @@
from scipy.sparse import issparse, csr_matrix
from sklearn.utils import check_random_state
import math
import sys


class Array(object):
Expand Down Expand Up @@ -73,8 +74,10 @@ def __init__(self, blocks, top_left_shape, reg_shape, shape, sparse,

def __del__(self):
if self._delete:
[compss_delete_object(b) for r_block in self._blocks for b in
r_block]
for r_block in self._blocks:
for b in r_block:
if sys.getrefcount(b) <= 3:
compss_delete_object(b)

def __str__(self):
return "ds-array(blocks=(...), top_left_shape=%r, reg_shape=%r, " \
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