undo some unnessesary changes

razdoburdin · Aug 2, 2023 · 7e5284d · 7e5284d
1 parent 34e606c
commit 7e5284d
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diff --git a/examples/daal4py/decision_forest_classification_traverse.py b/examples/daal4py/decision_forest_classification_traverse.py
@@ -22,8 +22,6 @@
 
 import daal4py as d4p
 
-import daal4py as d4p
-
 
 def printTree(nodes, values):
     def printNodes(node_id, nodes, values, level):

diff --git a/examples/daal4py/decision_forest_regression_traverse.py b/examples/daal4py/decision_forest_regression_traverse.py
@@ -22,8 +22,6 @@
 
 import daal4py as d4p
 
-import daal4py as d4p
-
 
 def printTree(nodes, values):
     def printNodes(node_id, nodes, values, level):

diff --git a/examples/daal4py/gradient_boosted_classification_traverse.py b/examples/daal4py/gradient_boosted_classification_traverse.py
@@ -22,8 +22,6 @@
 
 import daal4py as d4p
 
-import daal4py as d4p
-
 
 def printTree(nodes, values):
     def printNodes(node_id, nodes, values, level):

diff --git a/examples/daal4py/gradient_boosted_regression_traverse.py b/examples/daal4py/gradient_boosted_regression_traverse.py
@@ -22,8 +22,6 @@
 
 import daal4py as d4p
 
-import daal4py as d4p
-
 
 def printTree(nodes, values):
     def printNodes(node_id, nodes, values, level):

diff --git a/examples/sklearnex/n_jobs.py b/examples/sklearnex/n_jobs.py
@@ -18,7 +18,6 @@
 # scikit-learn n_jobs yet. Thus it's requered to use daal4py package to set this.
 # nthreads parameter define number of threads used by sklearnex.
 # Without this code sklearnex would be using all system cores
-
 import daal4py
 
 daal4py.daalinit(nthreads=2)

diff --git a/examples/sklearnex/patch_sklearn.py b/examples/sklearnex/patch_sklearn.py
@@ -16,7 +16,6 @@
 
 # Calling scikit-learn patch - this would enable acceleration on all
 # enabled algorithms. This is most straight forward way of patching
-
 from sklearnex import patch_sklearn
 
 patch_sklearn()

diff --git a/examples/sklearnex/verbose_mode.py b/examples/sklearnex/verbose_mode.py
@@ -17,7 +17,6 @@
 # sklearnex can help you debug your aplications by printing messages on it's invocation
 # to allow you to see if stock of accelerated version was used.
 # By setting sklearnex logger level to "INFO" you would enable this verbose mode
-
 import logging
 
 logging.getLogger("sklearnex").setLevel(logging.INFO)