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Removed Deprecated Stuff #35

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4 changes: 2 additions & 2 deletions missingpy/knnimpute.py
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Original file line number Diff line number Diff line change
Expand Up @@ -10,8 +10,8 @@
from sklearn.utils import check_array
from sklearn.utils.validation import check_is_fitted
from sklearn.utils.validation import FLOAT_DTYPES
from sklearn.neighbors.base import _check_weights
from sklearn.neighbors.base import _get_weights
from sklearn.neighbors._base import _check_weights
from sklearn.neighbors._base import _get_weights

from .pairwise_external import pairwise_distances
from .pairwise_external import _get_mask
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4 changes: 2 additions & 2 deletions missingpy/missforest.py
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Expand Up @@ -82,7 +82,7 @@ class MissForest(BaseEstimator, TransformerMixin):
If True, a copy of X will be created. If False, imputation will
be done in-place whenever possible.

criterion : tuple, optional (default = ('mse', 'gini'))
criterion : tuple, optional (default = ('squared_error', 'gini'))
The function to measure the quality of a split.The first element of
the tuple is for the Random Forest Regressor (for imputing numerical
variables) while the second element is for the Random Forest
Expand Down Expand Up @@ -235,7 +235,7 @@ class MissForest(BaseEstimator, TransformerMixin):
"""

def __init__(self, max_iter=10, decreasing=False, missing_values=np.nan,
copy=True, n_estimators=100, criterion=('mse', 'gini'),
copy=True, n_estimators=100, criterion=('squared_error', 'gini'),
max_depth=None, min_samples_split=2, min_samples_leaf=1,
min_weight_fraction_leaf=0.0, max_features='auto',
max_leaf_nodes=None, min_impurity_decrease=0.0,
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