Created
February 4, 2021 04:24
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Grid search hptuning_config.yml for GCP AI platform hypertune, recommend to bayesian optimization instead,
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trainingInput: | |
scaleTier: CUSTOM | |
masterType: n1-standard-4 | |
hyperparameters: | |
goal: MAXIMIZE | |
maxTrials: 90 | |
maxParallelTrials: 8 | |
algorithm: GRID_SEARCH | |
hyperparameterMetricTag: val_accuracy | |
params: | |
- parameterName: neurons_num | |
type: DISCRETE | |
discreteValues: [50, 75, 100, 125, 150] | |
- parameterName: epochs | |
type: DISCRETE | |
discreteValues: [30, 40, 50] | |
- parameterName: batch_size | |
type: DISCRETE | |
discreteValues: [64, 128, 256] | |
- parameterName: optimizer | |
type: CATEGORICAL | |
categoricalValues: ["RMSprop" , "Adam"] |
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