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Update mlpregressor.py
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tnlearn/mlpregressor.py

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import numpy as np
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from sklearn.model_selection import train_test_split
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import torch.optim.lr_scheduler as lr_scheduler
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from tnlearn.tnlearn.utils import MyData
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from tnlearn.tnlearn.neurons import CustomNeuronLayer
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from tnlearn.tnlearn.utils import random_seed
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from tnlearn.tnlearn.utils import get_activation_function
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from tnlearn.tnlearn.utils import get_loss_function
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from tnlearn.tnlearn.utils import get_optimizer
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from tnlearn.tnlearn.base import BaseModel
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from tnlearn.utils import MyData
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from tnlearn.neurons import CustomNeuronLayer
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from tnlearn.utils import random_seed
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from tnlearn.utils import get_activation_function
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from tnlearn.utils import get_loss_function
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from tnlearn.utils import get_optimizer
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from tnlearn.base import BaseModel
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class MLPRegressor(BaseModel):

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