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config.yaml
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config.yaml
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trainingInput:
scaleTier: STANDARD_1
hyperparameters:
goal: MAXIMIZE
hyperparameterMetricTag: auc_roc
enableTrialEarlyStopping: True
maxTrials: 400
maxParallelTrials: 4
params:
- parameterName: dropout
type: DOUBLE
minValue: 0.0
maxValue: 0.8
scaleType: UNIT_LINEAR_SCALE
- parameterName: subspecies_embedding
type: INTEGER
minValue: 1
maxValue: 250
scaleType: UNIT_LOG_SCALE
- parameterName: first_layer_size
type: INTEGER
minValue: 2
maxValue: 1000
scaleType: UNIT_LOG_SCALE
- parameterName: layer_reduction_fraction
type: DOUBLE
minValue: 0.1
maxValue: 1.0
scaleType: UNIT_LINEAR_SCALE
- parameterName: number_layers
type: INTEGER
minValue: 1
maxValue: 20
scaleType: UNIT_LOG_SCALE
- parameterName: learning_rate
type: DOUBLE
minValue: 0.00001
maxValue: 0.1
scaleType: UNIT_LOG_SCALE
- parameterName: batch_size
type: DISCRETE
discreteValues:
- 8
- 16
- 32
- 64
scaleType: UNIT_LOG_SCALE
- parameterName: tf_hub_module
type: CATEGORICAL
categoricalValues:
- https://tfhub.dev/google/imagenet/inception_v1/feature_vector/1
- https://tfhub.dev/google/imagenet/inception_v2/feature_vector/1
- https://tfhub.dev/google/imagenet/mobilenet_v1_100_224/feature_vector/1
- https://tfhub.dev/google/imagenet/mobilenet_v1_025_224/feature_vector/1
- https://tfhub.dev/google/imagenet/mobilenet_v2_140_224/feature_vector/2
- https://tfhub.dev/google/imagenet/mobilenet_v2_035_224/feature_vector/2
- https://tfhub.dev/google/imagenet/nasnet_mobile/feature_vector/1
- https://tfhub.dev/google/imagenet/resnet_v1_50/feature_vector/1
- https://tfhub.dev/google/imagenet/resnet_v1_152/feature_vector/1
- https://tfhub.dev/google/imagenet/resnet_v2_50/feature_vector/1
- https://tfhub.dev/google/imagenet/resnet_v2_152/feature_vector/1