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- ensemble:
- name: null
- feature:
- - name: PYGNormalizeFeatures
- hpo:
- max_evals: 10
- name: random
- models:
- - hp_space:
- - feasiblePoints: 2,3
- parameterName: num_layers
- type: DISCRETE
- - cutFunc: lambda x:x[0] - 1
- cutPara:
- - num_layers
- length: 2
- maxValue:
- - 32
- - 32
- minValue:
- - 8
- - 8
- numericalType: INTEGER
- parameterName: hidden
- scalingType: LOG
- type: NUMERICAL_LIST
- - maxValue: 0.5
- minValue: 0.2
- parameterName: dropout
- scalingType: LINEAR
- type: DOUBLE
- - feasiblePoints: 8,10,12
- parameterName: heads
- type: DISCRETE
- - feasiblePoints:
- - leaky_relu
- - relu
- - elu
- - tanh
- parameterName: act
- type: CATEGORICAL
- name: gat-model
- trainer:
- hp_space:
- - maxValue: 400
- minValue: 250
- parameterName: max_epoch
- scalingType: LINEAR
- type: INTEGER
- - maxValue: 40
- minValue: 25
- parameterName: early_stopping_round
- scalingType: LINEAR
- type: INTEGER
- - maxValue: 0.05
- minValue: 0.01
- parameterName: lr
- scalingType: LOG
- type: DOUBLE
- - maxValue: 0.0005
- minValue: 0.0001
- parameterName: weight_decay
- scalingType: LOG
- type: DOUBLE
|
