scikit-learn
diff --git a/‎sklearn/gaussian_process/kernels.py
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diff --git a/‎sklearn/inspection/_partial_dependence.py
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diff --git a/‎sklearn/metrics/_plot/base.py
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diff --git a/‎sklearn/metrics/pairwise.py
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diff --git a/‎sklearn/utils/_estimator_html_repr.py
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@@ -31,9 +31,9 @@
 from ..metrics.pairwise import pairwise_kernels
 from ..base import clone
 from ..utils.validation import _num_samples
+from ..exceptions import ConvergenceWarning
 
 import warnings
-from sklearn.exceptions import ConvergenceWarning
 
 
 def _check_length_scale(X, length_scale):
 
@@ -27,7 +27,7 @@
 from ..ensemble import RandomForestRegressor
 from ..exceptions import NotFittedError
 from ..ensemble._gb import BaseGradientBoosting
-from sklearn.ensemble._hist_gradient_boosting.gradient_boosting import (
+from ..ensemble._hist_gradient_boosting.gradient_boosting import (
     BaseHistGradientBoosting)
 
 
 
@@ -1,6 +1,6 @@
 import numpy as np
 
-from sklearn.base import is_classifier
+from ...base import is_classifier
 
 
 def _check_classifier_response_method(estimator, response_method):
 
@@ -748,7 +748,7 @@ def haversine_distances(X, Y=None):
     array([[    0.        , 11099.54035582],
            [11099.54035582,     0.        ]])
     """
-    from sklearn.neighbors import DistanceMetric
+    from ..neighbors import DistanceMetric
     return DistanceMetric.get_metric('haversine').pairwise(X, Y)
 
 
 
@@ -5,7 +5,7 @@
 import uuid
 import html
 
-from sklearn import config_context
+from .. import config_context
 
 
 class _VisualBlock: