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[backport] [CI] Fix CI with updated dependencies. (#8631) (#8635)

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Jiaming Yuan 2023-01-05 19:10:58 +08:00 committed by GitHub
parent 62ed8b5fef
commit 575fba651b
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2 changed files with 3 additions and 3 deletions
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4
jvm-packages/xgboost4j-tester/get_iris.py
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@ -1,9 +1,9 @@
from sklearn.datasets import load_iris
import numpy as np import numpy as np
import pandas import pandas
from sklearn.datasets import load_iris
X, y = load_iris(return_X_y=True) X, y = load_iris(return_X_y=True)
y = y.astype(np.int) y = y.astype(np.int32)
df = pandas.DataFrame(data=X, columns=['sepal length', 'sepal width', 'petal length', 'petal width']) df = pandas.DataFrame(data=X, columns=['sepal length', 'sepal width', 'petal length', 'petal width'])
class_id_to_name = {0:'Iris-setosa', 1:'Iris-versicolor', 2:'Iris-virginica'} class_id_to_name = {0:'Iris-setosa', 1:'Iris-versicolor', 2:'Iris-virginica'}
df['class'] = np.vectorize(class_id_to_name.get)(y) df['class'] = np.vectorize(class_id_to_name.get)(y)

2
tests/python/test_with_shap.py
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@ -4,7 +4,7 @@ import pytest
try: try:
import shap import shap
except ImportError: except Exception:
shap = None shap = None
pass pass