dp-100-data-scientist-assoc video for scenario: Edward Garner, the promoter of Unlimited Class Wrestling Federation (UCWF) , is committed to using technology to
Scenario: Edward Garner, the promoter of Unlimited Class Wrestling Federation (UCWF) , is committed to using technology to enhance his business and has reached out for assistance with the company’s Microsoft Azure service. At present, the IT team is leveraging Azure Machine Learning Service to automate hyperparameter exploration for a neural network classification model. Edward has instructed the team to define the hyperparameter space for automatic tuning using random sampling, with the following criteria: The learning rate must be selected from a normal distribution with a mean of 10 and a standard deviation of 3. The batch size must be one of 16, 32, or 64. The keep probability must be chosen from a uniform distribution between 0.05 and 0.1. A developer on the project needs to use the param_sampling method from the Python API for Azure Machine Learning Service. Question: How should they complete the following code segment? (Replace [A], [B], and [C] with the correct values.) python from azureml . train . hyperdrive import RandomParameterSampling param_sampling = RandomParameterSampling ( { “ learning_rate ”: [ A ], “ batch_size ”: [ B ], “ keep_probability ”: [ C ] })