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hyper-parameter_optimization's Introduction

Hyper-Parameter_optimization

Automate hyper-parameters tuning for NNs (learning rate, number of dense layers and nodes and activation function) The purpose of this work is to optimize the neural network model hyper-parameters to estimate facies classes from well logs.

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wassemalward wgonzalez25 abv-hub maybeee18 bellarude carlos-aro amberayre zclab yunxijun jiangfy68 zhengtongyan alm2036

hyper-parameter_optimization's Issues

Axis limits cannot be NaN or Inf

File "", line 1, in
runfile('D:/python=====/gp-opt.py', wdir='D:/python=====')

File "D:\Anaconda\lib\site-packages\spyder\utils\site\sitecustomize.py", line 705, in runfile
execfile(filename, namespace)

File "D:\Anaconda\lib\site-packages\spyder\utils\site\sitecustomize.py", line 102, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)

File "D:/python=====/gp-opt.py", line 119, in
facies_colors)

File "D:/python=====/gp-opt.py", line 92, in make_facies_log_plot
ax[i].set_ylim(ztop,zbot)

File "D:\Anaconda\lib\site-packages\matplotlib\axes_base.py", line 3429, in set_ylim
bottom = self._validate_converted_limits(bottom, self.convert_yunits)

File "D:\Anaconda\lib\site-packages\matplotlib\axes_base.py", line 3040, in _validate_converted_limits
raise ValueError("Axis limits cannot be NaN or Inf")

ValueError: Axis limits cannot be NaN or Inf

Need you to help me solve it, Please

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