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soup trajectory and box plot

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Si11ium
2019-03-15 13:42:55 +01:00
parent 1e5bec814d
commit 090546520e
70 changed files with 97 additions and 143 deletions
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8
code/setups/training-fixpoints.py
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@@ -40,8 +40,8 @@ if __name__ == '__main__':
for activation in ['linear']: # , 'sigmoid', 'relu']:
for use_bias in [False]:
net_generators += [lambda activation=activation, use_bias=use_bias: WeightwiseNeuralNetwork(width=2, depth=2).with_keras_params(activation=activation, use_bias=use_bias)]
net_generators += [lambda activation=activation, use_bias=use_bias: AggregatingNeuralNetwork(aggregates=4, width=2, depth=2).with_keras_params(activation=activation, use_bias=use_bias)]
net_generators += [lambda activation=activation, use_bias=use_bias: RecurrentNeuralNetwork(width=2, depth=2).with_keras_params(activation=activation, use_bias=use_bias)]
# net_generators += [lambda activation=activation, use_bias=use_bias: AggregatingNeuralNetwork(aggregates=4, width=2, depth=2).with_keras_params(activation=activation, use_bias=use_bias)]
# net_generators += [lambda activation=activation, use_bias=use_bias: RecurrentNeuralNetwork(width=2, depth=2).with_keras_params(activation=activation, use_bias=use_bias)]
all_counters = []
all_notable_nets = []
all_names = []
@@ -59,7 +59,9 @@ if __name__ == '__main__':
all_notable_nets += [notable_nets]
all_names += [name]
K.clear_session()
exp.save(all_counters=all_counters) #net types reached in the end
exp.save(all_counters=all_counters)
exp.save(trajectorys=exp.without_particles())
# net types reached in the end
# exp.save(all_notable_nets=all_notable_nets)
exp.save(all_names=all_names) #experiment setups
for exp_id, counter in enumerate(all_counters):