Hyperparameter a pipeline parameter, not random value

`MLOpsPython/code/training/train.py` picks a hyperparameter value randomly. This is an antipattern in 2 ways: (1) DevOps processes should yield reproducible outputs, (2) hyperparameters should be an AML pipeline parameter.

```
# Randomly pic alpha
alphas = np.arange(0.0, 1.0, 0.05)
alpha = alphas[np.random.choice(alphas.shape[0], 1, replace=False)][0]
```