Initializing_HyperParameters.py

#The hyperparameters & their values to be tested are stored in aspecial type called HParam
HP_NUM_UNITS = hp.HParam('num_units', hp.Discrete([50, 100, 200]))
HP_DROPOUT = hp.HParam('dropout', hp.RealInterval(0.1, 0.3))
HP_OPTIMIZER = hp.HParam('optimizer', hp.Discrete(['adam', 'sgd','nadam']))

#Settinf the Metric to RMSE
METRIC_RMSE = 'RootMeanSquaredError'

#Clear any logs from previous runs
!rm -rf ./logs/ 

#Creating & configuring log files
with tf.summary.create_file_writer('logs/hparam_tuning').as_default():
  hp.hparams_config(
    hparams=[HP_NUM_UNITS, HP_DROPOUT, HP_OPTIMIZER],
    metrics=[hp.Metric(METRIC_RMSE, display_name='RMSE')]
  )