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@ -63,6 +63,11 @@ an_optimizer = HyperParameterOptimizer(
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# This is the experiment we want to optimize
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base_task_id=args['template_task_id'],
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# here we define the hyper-parameters to optimize
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# Notice: The parameter name should exactly match what you see in the UI: <section_name>/<parameter>
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# For Example, here we see in the base experiment a section Named: "General"
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# under it a parameter named "batch_size", this becomes "General/batch_size"
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# If you have `argparse` for example, then arguments will appear under the "Args" section,
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# and you should instead pass "Args/batch_size"
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hyper_parameters=[
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UniformIntegerParameterRange('General/layer_1', min_value=128, max_value=512, step_size=128),
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UniformIntegerParameterRange('General/layer_2', min_value=128, max_value=512, step_size=128),
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