# 1. Random sampling from azureml.train.hyperdrive import RandomParameterSampling from azureml.train.hyperdrive import normal, uniform, choice param_sampling = RandomParameterSampling( { "learning_rate": normal(10, 3), "keep_probability": uniform(0.05, 0.1), "batch_size": choice(16, 32, 64, 128) } ) # 2. Grid Sampling from azureml.train.hyperdrive import GridParameterSampling from azureml.train.hyperdrive import choice param_sampling = GridParameterSampling( { "num_hidden_layers": choice(1, 2, 3), "batch_size": choice(16, 32) } ) # 3. Bayesian Sampling from azureml.train.hyperdrive import BayesianParameterSampling from azureml.train.hyperdrive import uniform, choice param_sampling = BayesianParameterSampling( { "learning_rate": uniform(0.05, 0.1), "batch_size": choice(16, 32, 64, 128) } )
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