"We can appreciate why we need additional intelligence in our systems -- heuristics don't go very far in the world of complex audio signals. We'll be using scikit-learn's implementation of the k-NN algorithm for our work here. It proves be a straightforward and easy-to-use implementation. The steps and skills of working with one classifier will scale nicely to working with other, more complex classifiers."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Training Data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's begin by loading some training data. We will use the following shortcut:"
"Plot the test feature vectors. Note that this uses the same scaling function used during training. Therefore, some test feature vectors may exceed the range [-1, 1]."
"Build a k-NN model for the snare drums using scikit.learn's [KNeighborsClassifier](http://scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsClassifier.html) class."
