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Python library for Bayesian hyper-parameters optimization

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Hello, thanks for your great work, I found all examples implemented in TF codes, Now I want to optimize hyper-parameters on Pytorch. How do I use it?

I am just a little confused. When i changed the neural network setting with concrete parameters, because i just only want to optimize learning rate, the second training will use...

Hello, can you please let me know the advantages and disadvantages of this library over Hyperopt? Also, it would be great if you can add support for PyTorch. Thank you...

```python import hyperengine import numpy as np def rosenbrock(hyperparams): return (hyperparams["x"]-1)**2 + 10*(hyperparams["x"]**2-hyperparams["y"])**2 class BlackBoxSolver: def __init__(self, func): self.func=func self._val_loss_curve = [] def train(self): loss=self.func() self._val_loss_curve.append(loss) return self._reducer(self._val_loss_curve) def _reducer(self,...

system: platform: win10 1709 anaconda: 5.1.0 python:3.6.4 tensorflow:1.8 The following error occurred while installing the hyper-engine: ``` (base) C:\Users\Samantha>pip install hyperengine Collecting hyperengine Using cached https://files.pythonhosted.org/packages/d7/de/cc05d99e18ddb74012bf5d5ec8f7932fd5d667a5373c576d26dfad6f598a/hyperengine-0.1.1.tar.gz Complete output from command...

How can I feed my own data instead of using mnist? Like the example in this post https://github.com/aymericdamien/TensorFlow-Examples/blob/master/notebooks/5_DataManagement/build_an_image_dataset.ipynb Thanks for any help!

Hi , i am from Stackoverflow. I am trying to understand your implementation from the paper " Extrapolating of Learning Curve .. ". As far as i understand , they...

Hello! First of all, thank you for your work, it is really helpful! I am experimenting with code from 1_3_saving_best_models_mnist.py . Tell me, please, how can I use fine-tuned models...