platform-demo-scripts/experiments/sweep_basicphase_ae.yaml

method: bayes
metric:
  goal: minimize
  name: val_loss
parameters:
  model_name:
    value:
      - BasicPhaseAE
  batch_size:
    distribution: int_uniform
    max: 1024
    min: 256
  max_epochs:
    value:
      - 20
  learning_rate:
    distribution: uniform
    max: 0.02
    min: 0.001
Added logging MAE for the best runs, option to run a pipeline on a specific dataset, template bash scripts, GPLv3 license. Modified behavior of generating eval targets, it is skipped if targets already exist. 2023-10-12 14:27:53 +02:00			`method: bayes`
			`metric:`
			`goal: minimize`
			`name: val_loss`
			`parameters:`
			`model_name:`
			`value:`
			`- BasicPhaseAE`
			`batch_size:`
			`distribution: int_uniform`
			`max: 1024`
			`min: 256`
			`max_epochs:`
			`value:`
			`- 20`
			`learning_rate:`
			`distribution: uniform`
			`max: 0.02`
			`min: 0.001`