fix scikit-learn deprecation warnings in SVC unit

Author: gregbaker

notebooks/05.07-Support-Vector-Machines.ipynb

@@ -775,10 +775,10 @@
    "outputs": [],
    "source": [
     "from sklearn.svm import SVC\n",
-    "from sklearn.decomposition import RandomizedPCA\n",
+    "from sklearn.decomposition import PCA\n",
     "from sklearn.pipeline import make_pipeline\n",
     "\n",
-    "pca = RandomizedPCA(n_components=150, whiten=True, random_state=42)\n",
+    "pca = PCA(n_components=150, whiten=True, svd_solver='randomized', random_state=42)\n",
     "svc = SVC(kernel='rbf', class_weight='balanced')\n",
     "model = make_pipeline(pca, svc)"
    ]
@@ -798,7 +798,7 @@
    },
    "outputs": [],
    "source": [
-    "from sklearn.cross_validation import train_test_split\n",
+    "from sklearn.model_selection import train_test_split\n",
     "Xtrain, Xtest, ytrain, ytest = train_test_split(faces.data, faces.target,\n",
     "                                                random_state=42)"
    ]
@@ -829,7 +829,7 @@
     }
    ],
    "source": [
-    "from sklearn.grid_search import GridSearchCV\n",
+    "from sklearn.model_selection import GridSearchCV\n",
     "param_grid = {'svc__C': [1, 5, 10, 50],\n",
     "              'svc__gamma': [0.0001, 0.0005, 0.001, 0.005]}\n",
     "grid = GridSearchCV(model, param_grid)\n",