Cleaned up remainder of lab1a

notebooks/classify_separated_signals.ipynb

 {
  "metadata": {
   "name": "",
-  "signature": "sha256:7ed94cc2b18891285f61c97615ead2cb2f265d2e6a8d305e44280affbff5a673"
+  "signature": "sha256:87d9daf99e5dd04a4e931b27d00a174351903b19f38f0fc69d0190f437b45b74"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -26,9 +26,11 @@
      "cell_type": "code",
      "collapsed": false,
      "input": [
+      "import numpy as np\n",
+      "\n",
       "labels = np.empty(20, np.int32)\n",
-      "labels[0:9] = 1 # First 10 are the first sample type, e.g. kick\n",
-      "labels[10:19] = 2 # Second 10 are the second sample type, e.g snare\n",
+      "labels[0:9] = 1 # First 10 are the first sample type, e.g. snare\n",
+      "labels[10:20] = 2 # Second 10 are the second sample type, e.g kick\n",
       "\n",
       "model_snare = KNeighborsClassifier(n_neighbors = 1)\n",
       "model.fit(scaledTrainingFeatures, labels.take(train_index, 0))\n",
@@ -36,7 +38,19 @@
      ],
      "language": "python",
      "metadata": {},
-     "outputs": []
+     "outputs": [
+      {
+       "ename": "NameError",
+       "evalue": "name 'KNeighborsClassifier' is not defined",
+       "output_type": "pyerr",
+       "traceback": [
+        "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+        "\u001b[0;32m<ipython-input-3-914682621b17>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mlabels\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m20\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m2\u001b[0m \u001b[0;31m# Second 10 are the second sample type, e.g kick\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mmodel_snare\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mKNeighborsClassifier\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn_neighbors\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      8\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mscaledTrainingFeatures\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabels\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtake\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrain_index\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[0mmodel_output\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmodel_snare\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mscaledTestingFeatures\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+        "\u001b[0;31mNameError\u001b[0m: name 'KNeighborsClassifier' is not defined"
+       ]
+      }
+     ],
+     "prompt_number": 3
     },
     {
      "cell_type": "markdown",