Write config.yml file for cloudml_train
1 2 | write_yml(num_layer, max_units, start_unit, max_dropout, min_dropout, max_lr,
min_lr, machine_type)
|
num_layer |
Number of hidden layer_dense |
max_units |
the maximum number of hidden units in a layer. Default to an optimized value based on data |
start_unit |
the minimum number of hiddent units in a layer. Default to 5 |
max_dropout |
A number between 0 and 1 indicating the maximum dropoff rate in a layer. Default to 0.2 |
min_dropout |
A number between 0 and 1 indicating the minimum dropoff rate in a layer. Default to 0 |
max_lr |
maximum learning rate in a run. Default to 0.2 |
min_lr |
minimum learning rate in a run. Default to 0.001 |
machine_type |
type of server to use. Could be standard, standard_gpu, standard_p100. For more visit https://cloud.google.com/ml-engine/docs/training-overview#machine_type_table |
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