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Use 'np.random' rather than 'import numpy.random as rnd'

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This commit is contained in:
Aurélien Geron
2017-06-06 14:26:26 +02:00
parent bd6c167e09
commit 692b674196
1 changed files with 18 additions and 9 deletions
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27
03_classification.ipynb
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@@ -47,11 +47,10 @@
"\n",
"# Common imports\n",
"import numpy as np\n",
"import numpy.random as rnd\n",
"import os\n",
"\n",
"# to make this notebook's output stable across runs\n",
"rnd.seed(42)\n",
"np.random.seed(42)\n",
"\n",
"# To plot pretty figures\n",
"%matplotlib inline\n",
@@ -779,7 +778,9 @@
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@@ -793,7 +794,9 @@
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@@ -927,7 +930,9 @@
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@@ -1056,7 +1061,9 @@
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@@ -1083,7 +1090,9 @@
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@@ -1195,9 +1204,9 @@
},
"outputs": [],
"source": [
"noise = rnd.randint(0, 100, (len(X_train), 784))\n",
"noise = np.random.randint(0, 100, (len(X_train), 784))\n",
"X_train_mod = X_train + noise\n",
"noise = rnd.randint(0, 100, (len(X_test), 784))\n",
"noise = np.random.randint(0, 100, (len(X_test), 784))\n",
"X_test_mod = X_test + noise\n",
"y_train_mod = X_train\n",
"y_test_mod = X_test"