Apache Spark Deep Learning Cookbook

How to do it...

This section walks through the steps to predict gender based on height and weight.

1. Create a Python function called input_normalize to input new values for height and weight and output a normalized height and weight, as seen in the following script:

def input_normalize(height, weight):    inputHeight = (height - x_mean[0])/x_std[0]    inputWeight = (weight - x_mean[1])/x_std[1]    return inputHeight, inputWeight

2. Assign a variable called score to the function for the values of 70 inches for the height and 180 lbs for the weight, as seen in the following script:

score = input_normalize(70, 180)

3. Create another Python function, called predict_gender, to output a probability score, gender_score, between 0 and 1, as well as a gender ...