soup trajectory and box plot
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@@ -19,14 +19,15 @@ if __name__ == '__main__':
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if True:
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# WeightWise Neural Network
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with FixpointExperiment() as exp:
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for run_id in tqdm(range(10)):
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net = ParticleDecorator(WeightwiseNeuralNetwork(width=2, depth=2)
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.with_keras_params(activation='linear'))
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run_exp(net)
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K.clear_session()
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exp.log(exp.counters)
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exp.save(trajectorys=exp.without_particles())
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for _ in range(10):
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with FixpointExperiment() as exp:
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for run_id in tqdm(range(20)):
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net = ParticleDecorator(WeightwiseNeuralNetwork(width=2, depth=2)
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.with_keras_params(activation='linear'))
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run_exp(net)
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K.clear_session()
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exp.log(exp.counters)
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exp.save(trajectorys=exp.without_particles())
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if False:
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# Aggregating Neural Network
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