matplotlib inline

knn_instrument_classification.ipynb

@@ -8,6 +8,8 @@
    },
    "outputs": [],
    "source": [
+    "%matplotlib inline\n",
+    "import seaborn\n",
     "import numpy, scipy, matplotlib.pyplot as plt, sklearn, librosa, mir_eval, urllib, IPython.display, stanford_mir\n",
     "plt.rcParams['figure.figsize'] = (14,5)"
    ]
@@ -406,7 +408,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "In addition to the features used above, extract the following features:\n",
+    "In addition to the features used above, extract the following features (see librosa docs on [feature extraction](http://librosa.github.io/librosa/feature.html)):\n",
     "\n",
     "- spectral centroid\n",
     "- spectral spread\n",
@@ -454,7 +456,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython2",
-   "version": "2.7.6"
+   "version": "2.7.10"
   }
  },
  "nbformat": 4,