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Description
I am trying to understand how to get the optimal neural network for a given pipeline.
I assume that one step is to maximize the search space.
In example_custom_configuration_space.py row 59:
configuration = estimator.get_search_space(dataset).get_default_configuration()
The call get_default_configuration() only gets a small subset of the complete search space.
It would be convenient with a function get_full_configuration().
In file: example_custom_configuration_space.py, I can see how to modify the search space.
def get_search_space_updates():
updates = HyperparameterSearchSpaceUpdates()
updates.append(
node_name="data_loader",
hyperparameter="batch_size",
value_range=[16, 512],
default_value=32,
)
Question:
Should I iterate over the config space to generate python-code that I can paste in a function as above? Is there an easier way?
Like this row:
network_backbone:MLPBackbone:dropout_12 | network_backbone:MLPBackbone:use_dropout == True && network_backbone:MLPBackbone:num_groups > 11
How can I add this into the HyperparameterSearchSpaceUpdates() function?
If I add hyperparameters about a specific network_backbone type. Do I need to include all the components like this?
api = TabularRegressionTask(
search_space_updates=get_search_space_updates(),
include_components={
"network_backbone": [
"MLPBackbone",
"ResNetBackbone",
"ShapedMLPBackbone",
"ShapedResNetBackbone",
],
},
)
The full config space is attached below in pcs_new format.
coalescer:__choice__ categorical {MinorityCoalescer, NoCoalescer} [NoCoalescer]
data_loader:batch_size integer [32, 320] [64]
encoder:__choice__ categorical {NoEncoder, OneHotEncoder} [OneHotEncoder]
feature_preprocessor:__choice__ categorical {NoFeaturePreprocessor} [NoFeaturePreprocessor]
lr_scheduler:__choice__ categorical {CosineAnnealingLR, CosineAnnealingWarmRestarts, CyclicLR, ExponentialLR, NoScheduler, ReduceLROnPlateau, StepLR} [ReduceLROnPlateau]
network_backbone:__choice__ categorical {MLPBackbone, ResNetBackbone, ShapedMLPBackbone, ShapedResNetBackbone} [ShapedMLPBackbone]
network_embedding:__choice__ categorical {LearnedEntityEmbedding, NoEmbedding} [NoEmbedding]
network_head:__choice__ categorical {fully_connected} [fully_connected]
network_init:__choice__ categorical {KaimingInit, NoInit, OrthogonalInit, SparseInit, XavierInit} [XavierInit]
optimizer:__choice__ categorical {AdamOptimizer, AdamWOptimizer, RMSpropOptimizer, SGDOptimizer} [AdamOptimizer]
scaler:__choice__ categorical {NoScaler} [NoScaler]
trainer:__choice__ categorical {MixUpTrainer, StandardTrainer} [StandardTrainer]
coalescer:MinorityCoalescer:min_frac real [0.0001, 0.5] [0.01]
lr_scheduler:CosineAnnealingLR:T_max integer [10, 500] [200]
lr_scheduler:CosineAnnealingWarmRestarts:T_0 integer [1, 20] [1]
lr_scheduler:CosineAnnealingWarmRestarts:T_mult real [1.0, 2.0] [1.0]
lr_scheduler:CyclicLR:base_lr real [1e-06, 0.1] [0.01]
lr_scheduler:CyclicLR:max_lr real [0.001, 0.1] [0.1]
lr_scheduler:CyclicLR:mode categorical {triangular, triangular2, exp_range} [triangular]
lr_scheduler:CyclicLR:step_size_up integer [1000, 4000] [2000]
lr_scheduler:ExponentialLR:gamma real [0.7, 0.9999] [0.9]
lr_scheduler:ReduceLROnPlateau:factor real [0.01, 0.9] [0.1]
lr_scheduler:ReduceLROnPlateau:mode categorical {min, max} [min]
lr_scheduler:ReduceLROnPlateau:patience integer [5, 20] [10]
lr_scheduler:StepLR:gamma real [0.001, 0.9] [0.1]
lr_scheduler:StepLR:step_size integer [1, 10] [5]
network_backbone:MLPBackbone:activation categorical {relu, tanh, sigmoid} [relu]
network_backbone:MLPBackbone:num_groups integer [1, 15] [5]
network_backbone:MLPBackbone:num_units_1 integer [10, 1024] [200]
network_backbone:MLPBackbone:use_dropout categorical {True, False} [False]
network_backbone:ResNetBackbone:activation categorical {relu, tanh, sigmoid} [relu]
network_backbone:ResNetBackbone:blocks_per_group_0 integer [1, 4] [2]
network_backbone:ResNetBackbone:blocks_per_group_1 integer [1, 4] [2]
network_backbone:ResNetBackbone:num_groups integer [1, 15] [5]
network_backbone:ResNetBackbone:num_units_0 integer [10, 1024] [200]
network_backbone:ResNetBackbone:num_units_1 integer [10, 1024] [200]
network_backbone:ResNetBackbone:use_dropout categorical {True, False} [False]
network_backbone:ResNetBackbone:use_shake_drop categorical {True, False} [True]
network_backbone:ResNetBackbone:use_shake_shake categorical {True, False} [True]
network_backbone:ShapedMLPBackbone:activation categorical {relu, tanh, sigmoid} [relu]
network_backbone:ShapedMLPBackbone:max_units integer [10, 1024] [200]
network_backbone:ShapedMLPBackbone:mlp_shape categorical {funnel, long_funnel, diamond, hexagon, brick, triangle, stairs} [funnel]
network_backbone:ShapedMLPBackbone:num_groups integer [1, 15] [5]
network_backbone:ShapedMLPBackbone:output_dim integer [10, 1024] [200]
network_backbone:ShapedMLPBackbone:use_dropout categorical {True, False} [False]
network_backbone:ShapedResNetBackbone:activation categorical {relu, tanh, sigmoid} [relu]
network_backbone:ShapedResNetBackbone:blocks_per_group integer [1, 4] [2]
network_backbone:ShapedResNetBackbone:max_units integer [10, 1024] [200]
network_backbone:ShapedResNetBackbone:num_groups integer [1, 15] [5]
network_backbone:ShapedResNetBackbone:output_dim integer [10, 1024] [200]
network_backbone:ShapedResNetBackbone:resnet_shape categorical {funnel, long_funnel, diamond, hexagon, brick, triangle, stairs} [funnel]
network_backbone:ShapedResNetBackbone:use_dropout categorical {True, False} [False]
network_backbone:ShapedResNetBackbone:use_shake_drop categorical {True, False} [True]
network_backbone:ShapedResNetBackbone:use_shake_shake categorical {True, False} [True]
network_embedding:LearnedEntityEmbedding:dimension_reduction_0 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_1 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_10 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_11 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_12 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_13 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_14 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_15 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_16 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_17 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_18 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_19 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_2 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_20 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_21 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_22 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_23 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_24 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_25 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_26 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_27 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_28 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_29 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_3 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_30 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_31 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_32 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_33 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_34 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_35 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_4 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_5 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_6 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_7 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_8 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:dimension_reduction_9 real [0.0, 1.0] [0.5]
network_embedding:LearnedEntityEmbedding:min_unique_values_for_embedding integer [3, 7] [5]log
network_head:fully_connected:num_layers integer [1, 4] [2]
network_init:KaimingInit:bias_strategy categorical {Zero, Normal} [Normal]
network_init:NoInit:bias_strategy categorical {Zero, Normal} [Normal]
network_init:OrthogonalInit:bias_strategy categorical {Zero, Normal} [Normal]
network_init:SparseInit:bias_strategy categorical {Zero, Normal} [Normal]
network_init:XavierInit:bias_strategy categorical {Zero, Normal} [Normal]
optimizer:AdamOptimizer:beta1 real [0.85, 0.999] [0.9]
optimizer:AdamOptimizer:beta2 real [0.9, 0.9999] [0.9]
optimizer:AdamOptimizer:lr real [1e-05, 0.1] [0.01]log
optimizer:AdamOptimizer:weight_decay real [0.0, 0.1] [0.0]
optimizer:AdamWOptimizer:beta1 real [0.85, 0.999] [0.9]
optimizer:AdamWOptimizer:beta2 real [0.9, 0.9999] [0.9]
optimizer:AdamWOptimizer:lr real [1e-05, 0.1] [0.01]log
optimizer:AdamWOptimizer:weight_decay real [0.0, 0.1] [0.0]
optimizer:RMSpropOptimizer:alpha real [0.1, 0.99] [0.99]
optimizer:RMSpropOptimizer:lr real [1e-05, 0.1] [0.01]log
optimizer:RMSpropOptimizer:momentum real [0.0, 0.99] [0.0]
optimizer:RMSpropOptimizer:weight_decay real [0.0, 0.1] [0.0]
optimizer:SGDOptimizer:lr real [1e-05, 0.1] [0.01]log
optimizer:SGDOptimizer:momentum real [0.0, 0.99] [0.0]
optimizer:SGDOptimizer:weight_decay real [0.0, 0.1] [0.0]
trainer:MixUpTrainer:alpha real [0.0, 1.0] [0.2]
trainer:MixUpTrainer:weighted_loss categorical {True, False} [True]
trainer:StandardTrainer:weighted_loss categorical {True, False} [True]
network_backbone:MLPBackbone:dropout_1 real [0.0, 0.8] [0.5]
network_backbone:MLPBackbone:dropout_10 real [0.0, 0.8] [0.5]
network_backbone:MLPBackbone:dropout_11 real [0.0, 0.8] [0.5]
network_backbone:MLPBackbone:dropout_12 real [0.0, 0.8] [0.5]
network_backbone:MLPBackbone:dropout_13 real [0.0, 0.8] [0.5]
network_backbone:MLPBackbone:dropout_14 real [0.0, 0.8] [0.5]
network_backbone:MLPBackbone:dropout_15 real [0.0, 0.8] [0.5]
network_backbone:MLPBackbone:dropout_2 real [0.0, 0.8] [0.5]
network_backbone:MLPBackbone:dropout_3 real [0.0, 0.8] [0.5]
network_backbone:MLPBackbone:dropout_4 real [0.0, 0.8] [0.5]
network_backbone:MLPBackbone:dropout_5 real [0.0, 0.8] [0.5]
network_backbone:MLPBackbone:dropout_6 real [0.0, 0.8] [0.5]
network_backbone:MLPBackbone:dropout_7 real [0.0, 0.8] [0.5]
network_backbone:MLPBackbone:dropout_8 real [0.0, 0.8] [0.5]
network_backbone:MLPBackbone:dropout_9 real [0.0, 0.8] [0.5]
network_backbone:MLPBackbone:num_units_10 integer [10, 1024] [200]
network_backbone:MLPBackbone:num_units_11 integer [10, 1024] [200]
network_backbone:MLPBackbone:num_units_12 integer [10, 1024] [200]
network_backbone:MLPBackbone:num_units_13 integer [10, 1024] [200]
network_backbone:MLPBackbone:num_units_14 integer [10, 1024] [200]
network_backbone:MLPBackbone:num_units_15 integer [10, 1024] [200]
network_backbone:MLPBackbone:num_units_2 integer [10, 1024] [200]
network_backbone:MLPBackbone:num_units_3 integer [10, 1024] [200]
network_backbone:MLPBackbone:num_units_4 integer [10, 1024] [200]
network_backbone:MLPBackbone:num_units_5 integer [10, 1024] [200]
network_backbone:MLPBackbone:num_units_6 integer [10, 1024] [200]
network_backbone:MLPBackbone:num_units_7 integer [10, 1024] [200]
network_backbone:MLPBackbone:num_units_8 integer [10, 1024] [200]
network_backbone:MLPBackbone:num_units_9 integer [10, 1024] [200]
network_backbone:ResNetBackbone:blocks_per_group_10 integer [1, 4] [2]
network_backbone:ResNetBackbone:blocks_per_group_11 integer [1, 4] [2]
network_backbone:ResNetBackbone:blocks_per_group_12 integer [1, 4] [2]
network_backbone:ResNetBackbone:blocks_per_group_13 integer [1, 4] [2]
network_backbone:ResNetBackbone:blocks_per_group_14 integer [1, 4] [2]
network_backbone:ResNetBackbone:blocks_per_group_15 integer [1, 4] [2]
network_backbone:ResNetBackbone:blocks_per_group_2 integer [1, 4] [2]
network_backbone:ResNetBackbone:blocks_per_group_3 integer [1, 4] [2]
network_backbone:ResNetBackbone:blocks_per_group_4 integer [1, 4] [2]
network_backbone:ResNetBackbone:blocks_per_group_5 integer [1, 4] [2]
network_backbone:ResNetBackbone:blocks_per_group_6 integer [1, 4] [2]
network_backbone:ResNetBackbone:blocks_per_group_7 integer [1, 4] [2]
network_backbone:ResNetBackbone:blocks_per_group_8 integer [1, 4] [2]
network_backbone:ResNetBackbone:blocks_per_group_9 integer [1, 4] [2]
network_backbone:ResNetBackbone:dropout_0 real [0.0, 0.8] [0.5]
network_backbone:ResNetBackbone:dropout_1 real [0.0, 0.8] [0.5]
network_backbone:ResNetBackbone:dropout_10 real [0.0, 0.8] [0.5]
network_backbone:ResNetBackbone:dropout_11 real [0.0, 0.8] [0.5]
network_backbone:ResNetBackbone:dropout_12 real [0.0, 0.8] [0.5]
network_backbone:ResNetBackbone:dropout_13 real [0.0, 0.8] [0.5]
network_backbone:ResNetBackbone:dropout_14 real [0.0, 0.8] [0.5]
network_backbone:ResNetBackbone:dropout_15 real [0.0, 0.8] [0.5]
network_backbone:ResNetBackbone:dropout_2 real [0.0, 0.8] [0.5]
network_backbone:ResNetBackbone:dropout_3 real [0.0, 0.8] [0.5]
network_backbone:ResNetBackbone:dropout_4 real [0.0, 0.8] [0.5]
network_backbone:ResNetBackbone:dropout_5 real [0.0, 0.8] [0.5]
network_backbone:ResNetBackbone:dropout_6 real [0.0, 0.8] [0.5]
network_backbone:ResNetBackbone:dropout_7 real [0.0, 0.8] [0.5]
network_backbone:ResNetBackbone:dropout_8 real [0.0, 0.8] [0.5]
network_backbone:ResNetBackbone:dropout_9 real [0.0, 0.8] [0.5]
network_backbone:ResNetBackbone:max_shake_drop_probability real [0.0, 1.0] [0.5]
network_backbone:ResNetBackbone:num_units_10 integer [10, 1024] [200]
network_backbone:ResNetBackbone:num_units_11 integer [10, 1024] [200]
network_backbone:ResNetBackbone:num_units_12 integer [10, 1024] [200]
network_backbone:ResNetBackbone:num_units_13 integer [10, 1024] [200]
network_backbone:ResNetBackbone:num_units_14 integer [10, 1024] [200]
network_backbone:ResNetBackbone:num_units_15 integer [10, 1024] [200]
network_backbone:ResNetBackbone:num_units_2 integer [10, 1024] [200]
network_backbone:ResNetBackbone:num_units_3 integer [10, 1024] [200]
network_backbone:ResNetBackbone:num_units_4 integer [10, 1024] [200]
network_backbone:ResNetBackbone:num_units_5 integer [10, 1024] [200]
network_backbone:ResNetBackbone:num_units_6 integer [10, 1024] [200]
network_backbone:ResNetBackbone:num_units_7 integer [10, 1024] [200]
network_backbone:ResNetBackbone:num_units_8 integer [10, 1024] [200]
network_backbone:ResNetBackbone:num_units_9 integer [10, 1024] [200]
network_backbone:ShapedMLPBackbone:max_dropout real [0.0, 1.0] [0.5]
network_backbone:ShapedResNetBackbone:max_dropout real [0.0, 0.8] [0.5]
network_backbone:ShapedResNetBackbone:max_shake_drop_probability real [0.0, 1.0] [0.5]
network_head:fully_connected:activation categorical {relu, tanh, sigmoid} [relu]
network_head:fully_connected:units_layer_1 integer [64, 512] [128]
network_head:fully_connected:units_layer_2 integer [64, 512] [128]
network_head:fully_connected:units_layer_3 integer [64, 512] [128]
network_head:fully_connected:units_layer_4 integer [64, 512] [128]
coalescer:MinorityCoalescer:min_frac | coalescer:__choice__ == MinorityCoalescer
lr_scheduler:CosineAnnealingLR:T_max | lr_scheduler:__choice__ == CosineAnnealingLR
lr_scheduler:CosineAnnealingWarmRestarts:T_0 | lr_scheduler:__choice__ == CosineAnnealingWarmRestarts
lr_scheduler:CosineAnnealingWarmRestarts:T_mult | lr_scheduler:__choice__ == CosineAnnealingWarmRestarts
lr_scheduler:CyclicLR:base_lr | lr_scheduler:__choice__ == CyclicLR
lr_scheduler:CyclicLR:max_lr | lr_scheduler:__choice__ == CyclicLR
lr_scheduler:CyclicLR:mode | lr_scheduler:__choice__ == CyclicLR
lr_scheduler:CyclicLR:step_size_up | lr_scheduler:__choice__ == CyclicLR
lr_scheduler:ExponentialLR:gamma | lr_scheduler:__choice__ == ExponentialLR
lr_scheduler:ReduceLROnPlateau:factor | lr_scheduler:__choice__ == ReduceLROnPlateau
lr_scheduler:ReduceLROnPlateau:mode | lr_scheduler:__choice__ == ReduceLROnPlateau
lr_scheduler:ReduceLROnPlateau:patience | lr_scheduler:__choice__ == ReduceLROnPlateau
lr_scheduler:StepLR:gamma | lr_scheduler:__choice__ == StepLR
lr_scheduler:StepLR:step_size | lr_scheduler:__choice__ == StepLR
network_backbone:MLPBackbone:activation | network_backbone:__choice__ == MLPBackbone
network_backbone:MLPBackbone:num_groups | network_backbone:__choice__ == MLPBackbone
network_backbone:MLPBackbone:num_units_1 | network_backbone:__choice__ == MLPBackbone
network_backbone:MLPBackbone:use_dropout | network_backbone:__choice__ == MLPBackbone
network_backbone:ResNetBackbone:activation | network_backbone:__choice__ == ResNetBackbone
network_backbone:ResNetBackbone:blocks_per_group_0 | network_backbone:__choice__ == ResNetBackbone
network_backbone:ResNetBackbone:blocks_per_group_1 | network_backbone:__choice__ == ResNetBackbone
network_backbone:ResNetBackbone:num_groups | network_backbone:__choice__ == ResNetBackbone
network_backbone:ResNetBackbone:num_units_0 | network_backbone:__choice__ == ResNetBackbone
network_backbone:ResNetBackbone:num_units_1 | network_backbone:__choice__ == ResNetBackbone
network_backbone:ResNetBackbone:use_dropout | network_backbone:__choice__ == ResNetBackbone
network_backbone:ResNetBackbone:use_shake_drop | network_backbone:__choice__ == ResNetBackbone
network_backbone:ResNetBackbone:use_shake_shake | network_backbone:__choice__ == ResNetBackbone
network_backbone:ShapedMLPBackbone:activation | network_backbone:__choice__ == ShapedMLPBackbone
network_backbone:ShapedMLPBackbone:max_units | network_backbone:__choice__ == ShapedMLPBackbone
network_backbone:ShapedMLPBackbone:mlp_shape | network_backbone:__choice__ == ShapedMLPBackbone
network_backbone:ShapedMLPBackbone:num_groups | network_backbone:__choice__ == ShapedMLPBackbone
network_backbone:ShapedMLPBackbone:output_dim | network_backbone:__choice__ == ShapedMLPBackbone
network_backbone:ShapedMLPBackbone:use_dropout | network_backbone:__choice__ == ShapedMLPBackbone
network_backbone:ShapedResNetBackbone:activation | network_backbone:__choice__ == ShapedResNetBackbone
network_backbone:ShapedResNetBackbone:blocks_per_group | network_backbone:__choice__ == ShapedResNetBackbone
network_backbone:ShapedResNetBackbone:max_units | network_backbone:__choice__ == ShapedResNetBackbone
network_backbone:ShapedResNetBackbone:num_groups | network_backbone:__choice__ == ShapedResNetBackbone
network_backbone:ShapedResNetBackbone:output_dim | network_backbone:__choice__ == ShapedResNetBackbone
network_backbone:ShapedResNetBackbone:resnet_shape | network_backbone:__choice__ == ShapedResNetBackbone
network_backbone:ShapedResNetBackbone:use_dropout | network_backbone:__choice__ == ShapedResNetBackbone
network_backbone:ShapedResNetBackbone:use_shake_drop | network_backbone:__choice__ == ShapedResNetBackbone
network_backbone:ShapedResNetBackbone:use_shake_shake | network_backbone:__choice__ == ShapedResNetBackbone
network_embedding:LearnedEntityEmbedding:dimension_reduction_0 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_1 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_10 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_11 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_12 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_13 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_14 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_15 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_16 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_17 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_18 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_19 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_2 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_20 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_21 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_22 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_23 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_24 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_25 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_26 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_27 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_28 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_29 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_3 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_30 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_31 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_32 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_33 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_34 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_35 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_4 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_5 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_6 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_7 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_8 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:dimension_reduction_9 | network_embedding:__choice__ == LearnedEntityEmbedding
network_embedding:LearnedEntityEmbedding:min_unique_values_for_embedding | network_embedding:__choice__ == LearnedEntityEmbedding
network_head:fully_connected:num_layers | network_head:__choice__ == fully_connected
network_init:KaimingInit:bias_strategy | network_init:__choice__ == KaimingInit
network_init:NoInit:bias_strategy | network_init:__choice__ == NoInit
network_init:OrthogonalInit:bias_strategy | network_init:__choice__ == OrthogonalInit
network_init:SparseInit:bias_strategy | network_init:__choice__ == SparseInit
network_init:XavierInit:bias_strategy | network_init:__choice__ == XavierInit
optimizer:AdamOptimizer:beta1 | optimizer:__choice__ == AdamOptimizer
optimizer:AdamOptimizer:beta2 | optimizer:__choice__ == AdamOptimizer
optimizer:AdamOptimizer:lr | optimizer:__choice__ == AdamOptimizer
optimizer:AdamOptimizer:weight_decay | optimizer:__choice__ == AdamOptimizer
optimizer:AdamWOptimizer:beta1 | optimizer:__choice__ == AdamWOptimizer
optimizer:AdamWOptimizer:beta2 | optimizer:__choice__ == AdamWOptimizer
optimizer:AdamWOptimizer:lr | optimizer:__choice__ == AdamWOptimizer
optimizer:AdamWOptimizer:weight_decay | optimizer:__choice__ == AdamWOptimizer
optimizer:RMSpropOptimizer:alpha | optimizer:__choice__ == RMSpropOptimizer
optimizer:RMSpropOptimizer:lr | optimizer:__choice__ == RMSpropOptimizer
optimizer:RMSpropOptimizer:momentum | optimizer:__choice__ == RMSpropOptimizer
optimizer:RMSpropOptimizer:weight_decay | optimizer:__choice__ == RMSpropOptimizer
optimizer:SGDOptimizer:lr | optimizer:__choice__ == SGDOptimizer
optimizer:SGDOptimizer:momentum | optimizer:__choice__ == SGDOptimizer
optimizer:SGDOptimizer:weight_decay | optimizer:__choice__ == SGDOptimizer
trainer:MixUpTrainer:alpha | trainer:__choice__ == MixUpTrainer
trainer:MixUpTrainer:weighted_loss | trainer:__choice__ == MixUpTrainer
trainer:StandardTrainer:weighted_loss | trainer:__choice__ == StandardTrainer
network_backbone:MLPBackbone:dropout_10 | network_backbone:MLPBackbone:use_dropout == True && network_backbone:MLPBackbone:num_groups > 9
network_backbone:MLPBackbone:dropout_11 | network_backbone:MLPBackbone:use_dropout == True && network_backbone:MLPBackbone:num_groups > 10
network_backbone:MLPBackbone:dropout_12 | network_backbone:MLPBackbone:use_dropout == True && network_backbone:MLPBackbone:num_groups > 11
network_backbone:MLPBackbone:dropout_13 | network_backbone:MLPBackbone:use_dropout == True && network_backbone:MLPBackbone:num_groups > 12
network_backbone:MLPBackbone:dropout_14 | network_backbone:MLPBackbone:use_dropout == True && network_backbone:MLPBackbone:num_groups > 13
network_backbone:MLPBackbone:dropout_15 | network_backbone:MLPBackbone:use_dropout == True && network_backbone:MLPBackbone:num_groups > 14
network_backbone:MLPBackbone:dropout_2 | network_backbone:MLPBackbone:use_dropout == True && network_backbone:MLPBackbone:num_groups > 1
network_backbone:MLPBackbone:dropout_3 | network_backbone:MLPBackbone:use_dropout == True && network_backbone:MLPBackbone:num_groups > 2
network_backbone:MLPBackbone:dropout_4 | network_backbone:MLPBackbone:use_dropout == True && network_backbone:MLPBackbone:num_groups > 3
network_backbone:MLPBackbone:dropout_5 | network_backbone:MLPBackbone:use_dropout == True && network_backbone:MLPBackbone:num_groups > 4
network_backbone:MLPBackbone:dropout_6 | network_backbone:MLPBackbone:use_dropout == True && network_backbone:MLPBackbone:num_groups > 5
network_backbone:MLPBackbone:dropout_7 | network_backbone:MLPBackbone:use_dropout == True && network_backbone:MLPBackbone:num_groups > 6
network_backbone:MLPBackbone:dropout_8 | network_backbone:MLPBackbone:use_dropout == True && network_backbone:MLPBackbone:num_groups > 7
network_backbone:MLPBackbone:dropout_9 | network_backbone:MLPBackbone:use_dropout == True && network_backbone:MLPBackbone:num_groups > 8
network_backbone:MLPBackbone:num_units_10 | network_backbone:MLPBackbone:num_groups > 9
network_backbone:MLPBackbone:num_units_11 | network_backbone:MLPBackbone:num_groups > 10
network_backbone:MLPBackbone:num_units_12 | network_backbone:MLPBackbone:num_groups > 11
network_backbone:MLPBackbone:num_units_13 | network_backbone:MLPBackbone:num_groups > 12
network_backbone:MLPBackbone:num_units_14 | network_backbone:MLPBackbone:num_groups > 13
network_backbone:MLPBackbone:num_units_15 | network_backbone:MLPBackbone:num_groups > 14
network_backbone:MLPBackbone:num_units_2 | network_backbone:MLPBackbone:num_groups > 1
network_backbone:MLPBackbone:num_units_3 | network_backbone:MLPBackbone:num_groups > 2
network_backbone:MLPBackbone:num_units_4 | network_backbone:MLPBackbone:num_groups > 3
network_backbone:MLPBackbone:num_units_5 | network_backbone:MLPBackbone:num_groups > 4
network_backbone:MLPBackbone:num_units_6 | network_backbone:MLPBackbone:num_groups > 5
network_backbone:MLPBackbone:num_units_7 | network_backbone:MLPBackbone:num_groups > 6
network_backbone:MLPBackbone:num_units_8 | network_backbone:MLPBackbone:num_groups > 7
network_backbone:MLPBackbone:num_units_9 | network_backbone:MLPBackbone:num_groups > 8
network_backbone:MLPBackbone:dropout_1 | network_backbone:MLPBackbone:use_dropout == True
network_backbone:ResNetBackbone:blocks_per_group_10 | network_backbone:ResNetBackbone:num_groups > 9
network_backbone:ResNetBackbone:blocks_per_group_11 | network_backbone:ResNetBackbone:num_groups > 10
network_backbone:ResNetBackbone:blocks_per_group_12 | network_backbone:ResNetBackbone:num_groups > 11
network_backbone:ResNetBackbone:blocks_per_group_13 | network_backbone:ResNetBackbone:num_groups > 12
network_backbone:ResNetBackbone:blocks_per_group_14 | network_backbone:ResNetBackbone:num_groups > 13
network_backbone:ResNetBackbone:blocks_per_group_15 | network_backbone:ResNetBackbone:num_groups > 14
network_backbone:ResNetBackbone:blocks_per_group_2 | network_backbone:ResNetBackbone:num_groups > 1
network_backbone:ResNetBackbone:blocks_per_group_3 | network_backbone:ResNetBackbone:num_groups > 2
network_backbone:ResNetBackbone:blocks_per_group_4 | network_backbone:ResNetBackbone:num_groups > 3
network_backbone:ResNetBackbone:blocks_per_group_5 | network_backbone:ResNetBackbone:num_groups > 4
network_backbone:ResNetBackbone:blocks_per_group_6 | network_backbone:ResNetBackbone:num_groups > 5
network_backbone:ResNetBackbone:blocks_per_group_7 | network_backbone:ResNetBackbone:num_groups > 6
network_backbone:ResNetBackbone:blocks_per_group_8 | network_backbone:ResNetBackbone:num_groups > 7
network_backbone:ResNetBackbone:blocks_per_group_9 | network_backbone:ResNetBackbone:num_groups > 8
network_backbone:ResNetBackbone:dropout_10 | network_backbone:ResNetBackbone:use_dropout == True && network_backbone:ResNetBackbone:num_groups > 9
network_backbone:ResNetBackbone:dropout_11 | network_backbone:ResNetBackbone:use_dropout == True && network_backbone:ResNetBackbone:num_groups > 10
network_backbone:ResNetBackbone:dropout_12 | network_backbone:ResNetBackbone:use_dropout == True && network_backbone:ResNetBackbone:num_groups > 11
network_backbone:ResNetBackbone:dropout_13 | network_backbone:ResNetBackbone:use_dropout == True && network_backbone:ResNetBackbone:num_groups > 12
network_backbone:ResNetBackbone:dropout_14 | network_backbone:ResNetBackbone:use_dropout == True && network_backbone:ResNetBackbone:num_groups > 13
network_backbone:ResNetBackbone:dropout_15 | network_backbone:ResNetBackbone:use_dropout == True && network_backbone:ResNetBackbone:num_groups > 14
network_backbone:ResNetBackbone:dropout_2 | network_backbone:ResNetBackbone:use_dropout == True && network_backbone:ResNetBackbone:num_groups > 1
network_backbone:ResNetBackbone:dropout_3 | network_backbone:ResNetBackbone:use_dropout == True && network_backbone:ResNetBackbone:num_groups > 2
network_backbone:ResNetBackbone:dropout_4 | network_backbone:ResNetBackbone:use_dropout == True && network_backbone:ResNetBackbone:num_groups > 3
network_backbone:ResNetBackbone:dropout_5 | network_backbone:ResNetBackbone:use_dropout == True && network_backbone:ResNetBackbone:num_groups > 4
network_backbone:ResNetBackbone:dropout_6 | network_backbone:ResNetBackbone:use_dropout == True && network_backbone:ResNetBackbone:num_groups > 5
network_backbone:ResNetBackbone:dropout_7 | network_backbone:ResNetBackbone:use_dropout == True && network_backbone:ResNetBackbone:num_groups > 6
network_backbone:ResNetBackbone:dropout_8 | network_backbone:ResNetBackbone:use_dropout == True && network_backbone:ResNetBackbone:num_groups > 7
network_backbone:ResNetBackbone:dropout_9 | network_backbone:ResNetBackbone:use_dropout == True && network_backbone:ResNetBackbone:num_groups > 8
network_backbone:ResNetBackbone:num_units_10 | network_backbone:ResNetBackbone:num_groups > 9
network_backbone:ResNetBackbone:num_units_11 | network_backbone:ResNetBackbone:num_groups > 10
network_backbone:ResNetBackbone:num_units_12 | network_backbone:ResNetBackbone:num_groups > 11
network_backbone:ResNetBackbone:num_units_13 | network_backbone:ResNetBackbone:num_groups > 12
network_backbone:ResNetBackbone:num_units_14 | network_backbone:ResNetBackbone:num_groups > 13
network_backbone:ResNetBackbone:num_units_15 | network_backbone:ResNetBackbone:num_groups > 14
network_backbone:ResNetBackbone:num_units_2 | network_backbone:ResNetBackbone:num_groups > 1
network_backbone:ResNetBackbone:num_units_3 | network_backbone:ResNetBackbone:num_groups > 2
network_backbone:ResNetBackbone:num_units_4 | network_backbone:ResNetBackbone:num_groups > 3
network_backbone:ResNetBackbone:num_units_5 | network_backbone:ResNetBackbone:num_groups > 4
network_backbone:ResNetBackbone:num_units_6 | network_backbone:ResNetBackbone:num_groups > 5
network_backbone:ResNetBackbone:num_units_7 | network_backbone:ResNetBackbone:num_groups > 6
network_backbone:ResNetBackbone:num_units_8 | network_backbone:ResNetBackbone:num_groups > 7
network_backbone:ResNetBackbone:num_units_9 | network_backbone:ResNetBackbone:num_groups > 8
network_backbone:ResNetBackbone:dropout_0 | network_backbone:ResNetBackbone:use_dropout == True
network_backbone:ResNetBackbone:dropout_1 | network_backbone:ResNetBackbone:use_dropout == True
network_backbone:ResNetBackbone:max_shake_drop_probability | network_backbone:ResNetBackbone:use_shake_drop == True
network_backbone:ShapedMLPBackbone:max_dropout | network_backbone:ShapedMLPBackbone:use_dropout == True
network_backbone:ShapedResNetBackbone:max_dropout | network_backbone:ShapedResNetBackbone:use_dropout == True
network_backbone:ShapedResNetBackbone:max_shake_drop_probability | network_backbone:ShapedResNetBackbone:use_shake_drop == True
network_head:fully_connected:activation | network_head:fully_connected:num_layers > 1
network_head:fully_connected:units_layer_1 | network_head:fully_connected:num_layers > 1
network_head:fully_connected:units_layer_2 | network_head:fully_connected:num_layers > 2
network_head:fully_connected:units_layer_3 | network_head:fully_connected:num_layers > 3
network_head:fully_connected:units_layer_4 | network_head:fully_connected:num_layers > 4
{network_embedding:__choice__=LearnedEntityEmbedding, encoder:__choice__=NoEncoder}
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