Fix imports to be absolute

Signed-off-by: Adam Li <adam2392@gmail.com>

Author: adam2392

sklearn/tree/_classes.py

@@ -25,22 +25,22 @@
 import numpy as np
 from scipy.sparse import issparse
 
-from ..base import BaseEstimator
-from ..base import ClassifierMixin
-from ..base import clone
-from ..base import RegressorMixin
-from ..base import is_classifier
-from ..base import MultiOutputMixin
-from ..utils import Bunch
-from ..utils import check_random_state
-from ..utils.validation import _check_sample_weight
-from ..utils.validation import assert_all_finite
-from ..utils.validation import _assert_all_finite_element_wise
-from ..utils import compute_sample_weight
-from ..utils.multiclass import check_classification_targets
-from ..utils.validation import check_is_fitted
-from ..utils._param_validation import Hidden, Interval, StrOptions
-from ..utils._param_validation import RealNotInt
+from sklearn.base import BaseEstimator
+from sklearn.base import ClassifierMixin
+from sklearn.base import clone
+from sklearn.base import RegressorMixin
+from sklearn.base import is_classifier
+from sklearn.base import MultiOutputMixin
+from sklearn.utils import Bunch
+from sklearn.utils import check_random_state
+from sklearn.utils.validation import _check_sample_weight
+from sklearn.utils.validation import assert_all_finite
+from sklearn.utils.validation import _assert_all_finite_element_wise
+from sklearn.utils import compute_sample_weight
+from sklearn.utils.multiclass import check_classification_targets
+from sklearn.utils.validation import check_is_fitted
+from sklearn.utils._param_validation import Hidden, Interval, StrOptions
+from sklearn.utils._param_validation import RealNotInt
 
 from ._criterion import BaseCriterion
 from ._splitter import BaseSplitter

sklearn/tree/_export.py

@@ -16,10 +16,15 @@
 
 import numpy as np
 
-from ..utils.validation import check_is_fitted, check_array
-from ..utils._param_validation import Interval, validate_params, StrOptions, HasMethods
+from sklearn.utils.validation import check_is_fitted, check_array
+from sklearn.utils._param_validation import (
+    Interval,
+    validate_params,
+    StrOptions,
+    HasMethods,
+)
 
-from ..base import is_classifier
+from sklearn.base import is_classifier
 
 from . import _criterion
 from . import _tree

sklearn/tree/_utils.pxd

@@ -10,7 +10,7 @@
 
 cimport numpy as cnp
 from ._tree cimport Node
-from ..neighbors._quad_tree cimport Cell
+from sklearn.neighbors._quad_tree cimport Cell
 
 ctypedef cnp.npy_float32 DTYPE_t          # Type of X
 ctypedef cnp.npy_float64 DOUBLE_t         # Type of y, sample_weight

sklearn/tree/_utils.pyx

@@ -19,7 +19,7 @@ import numpy as np
 cimport numpy as cnp
 cnp.import_array()
 
-from ..utils._random cimport our_rand_r
+from sklearn.utils._random cimport our_rand_r
 
 # =============================================================================
 # Helper functions