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Hi, I Am Trying To Use The Parameterset For Hyper-Parameter Tuning With Dependencies, An Example Of How I Use It: Parameterset([{“Prm1”:1, “Prm2": 1},{“Prm1”:2, “Prm2":2}]) But I Get A Warning :


parameter_optimization_space = [{
type = “ParameterSet”
name = null
values = [{
General/data_module = “
General/model = “

General/homogeneous = true
General/model_kwargs/pooling_flow = “source_to_target”
General/trainer_kwargs/epochs = 2
}]
},
{
type = “UniformParameterRange”
name = “General/data_module_kwargs/

min_value = 0.001
max_value = 0.005
step_size = 0.001
include_max = true
},
{
type = “UniformIntegerParameterRange”
name = “General/data_module_kwargs/batch_size”
min_value = 2
max_value = 16
step_size = 2
include_max = true
},
{
type = “UniformIntegerParameterRange”
name = “General/model_kwargs/number_of_hidden_layers”
min_value = 2
max_value = 5
step_size = 1
include_max = true
},
{
type = “UniformParameterRange”
name = “General/trainer_kwargs/default_lr”
min_value = 0.0001
max_value = 0.01
step_size = null
include_max = true
},
{
type = “DiscreteParameterRange”
name = “General/model_kwargs/global_pooling_reduce”
values = [“mean”, “max”, “add”]
}]

  
  
Posted one year ago
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0 Answers
one year ago
one year ago