The configurations included in a sample hyper parameters definition JSON file are as follows.
The definitions of the parameters in the above sample hyper parameters definition JSON file are as follows.
|Number of iterations of gradient descent to run.||Yes||None|
|A constant (usually a small number less than 1.0 ), which is used in machine learning algorithms to control the speed of the learning.||Yes||None|
|The fraction of data to be used per iteration in the Stochastic Gradient Descent (SGD) optimization algorithms. If this is set to 1.0, the machine learning algorithm runs with Full-batch Gradient Descent optimizer.||Yes||None|