Tests: Fix seed of numpy.random

andreArtelt · Jul 15, 2019 · 299b169 · 299b169
1 parent ba29718
commit 299b169
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diff --git a/tests/sklearn/test_sklearn_isolationforest.py b/tests/sklearn/test_sklearn_isolationforest.py
@@ -1,5 +1,6 @@
 # -*- coding: utf-8 -*-
 import numpy as np
+np.random.seed(42)
 from sklearn.ensemble import IsolationForest
 from sklearn.datasets import make_blobs
 

diff --git a/tests/sklearn/test_sklearn_knn.py b/tests/sklearn/test_sklearn_knn.py
@@ -3,6 +3,7 @@
 sys.path.insert(0,'..')
 
 import numpy as np
+np.random.seed(42)
 import sklearn
 from sklearn.datasets import load_iris, load_boston
 from sklearn.model_selection import train_test_split

diff --git a/tests/sklearn/test_sklearn_linearregression.py b/tests/sklearn/test_sklearn_linearregression.py
@@ -3,6 +3,7 @@
 sys.path.insert(0,'..')
 
 import numpy as np
+np.random.seed(42)
 import sklearn
 from sklearn.datasets import load_boston
 from sklearn.model_selection import train_test_split

diff --git a/tests/sklearn/test_sklearn_lvq.py b/tests/sklearn/test_sklearn_lvq.py
@@ -3,6 +3,7 @@
 sys.path.insert(0,'..')
 
 import numpy as np
+np.random.seed(42)
 import sklearn
 from sklearn.datasets import load_iris
 from sklearn.model_selection import train_test_split

diff --git a/tests/sklearn/test_sklearn_naivebayes.py b/tests/sklearn/test_sklearn_naivebayes.py
@@ -3,6 +3,7 @@
 sys.path.insert(0,'..')
 
 import numpy as np
+np.random.seed(42)
 import sklearn
 from sklearn.datasets import load_iris
 from sklearn.model_selection import train_test_split

diff --git a/tests/sklearn/test_sklearn_pipeline.py b/tests/sklearn/test_sklearn_pipeline.py
@@ -3,6 +3,7 @@
 sys.path.insert(0,'..')
 
 import numpy as np
+np.random.seed(42)
 import sklearn
 from sklearn.datasets import load_iris
 from sklearn.model_selection import train_test_split

diff --git a/tests/sklearn/test_sklearn_randomforest.py b/tests/sklearn/test_sklearn_randomforest.py
@@ -3,6 +3,7 @@
 sys.path.insert(0,'..')
 
 import numpy as np
+np.random.seed(42)
 import sklearn
 from sklearn.datasets import load_iris, load_boston
 from sklearn.model_selection import train_test_split

diff --git a/tests/sklearn/test_sklearn_softmaxregression.py b/tests/sklearn/test_sklearn_softmaxregression.py
@@ -3,6 +3,7 @@
 sys.path.insert(0,'..')
 
 import numpy as np
+np.random.seed(42)
 import sklearn
 from sklearn.datasets import load_iris
 from sklearn.model_selection import train_test_split

diff --git a/tests/tfkeras/test_tfkeras_linearregression.py b/tests/tfkeras/test_tfkeras_linearregression.py
@@ -7,6 +7,7 @@
 tf.random.set_random_seed(42)
 
 import numpy as np
+np.random.seed(42)
 from sklearn.datasets import load_boston
 from sklearn.model_selection import train_test_split
 from sklearn.metrics import r2_score

diff --git a/tests/tfkeras/test_tfkeras_softmaxregression.py b/tests/tfkeras/test_tfkeras_softmaxregression.py
@@ -7,6 +7,7 @@
 tf.compat.v1.random.set_random_seed(42)
 
 import numpy as np
+np.random.seed(42)
 from sklearn.datasets import load_iris
 from sklearn.model_selection import train_test_split
 from sklearn.metrics import accuracy_score

diff --git a/tests/torch/test_torch_linearregression.py b/tests/torch/test_torch_linearregression.py
@@ -5,6 +5,7 @@
 import torch
 torch.manual_seed(42)
 import numpy as np
+np.random.seed(42)
 from sklearn.datasets import load_boston
 from sklearn.model_selection import train_test_split
 from sklearn.metrics import r2_score

diff --git a/tests/torch/test_torch_softmaxregression.py b/tests/torch/test_torch_softmaxregression.py
@@ -5,6 +5,7 @@
 import torch
 torch.manual_seed(42)
 import numpy as np
+np.random.seed(42)
 from sklearn.datasets import load_iris
 from sklearn.model_selection import train_test_split
 from sklearn.metrics import accuracy_score