Performing logistic regression using TensorFlow

In this section, we will cover the application of TensorFlow in setting up a logistic regression model. The example will use a similar dataset to that used in the H2O model setup.

Getting ready

The previous chapter provided details for the installation of TensorFlow. The code for this section is created on Linux but can be run on any operating system. To start modeling, load the tensorflow package in the environment. R loads the default TensorFlow environment variable and also the NumPy library from Python in the np variable:

library("tensorflow") # Load TensorFlow 
np <- import("numpy") # Load numpy library

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