How to do it...

TensorFlow has included some default model estimator functions that we will rely on for this recipe. There are two main gradient-boosted models, a regression-tree and a classification-tree. For this example, we will be using a regression tree to predict the boston house price dataset (

  1. To start we load the necessary libraries:
import numpy as npimport tensorflow as tffrom keras.datasets import boston_housingfrom tensorflow.python.framework import opsops.reset_default_graph()
  1. Next, we set the model we are going to use from the TensorFlow estimator library. Here, we will use the BoostedTreesRegressor model, which is used for regression with gradient boosted ...

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