To illustrate how making predictions with nearest-neighbors works in TensorFlow, we will use the Boston housing dataset. Here, we will be predicting the median neighborhood housing value as a function of several features.
Since we consider the training set the trained model, we will find the k-NNs to the prediction points, and will calculate a weighted average of the target value.
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