mohapatras

import numpy as np
from sklearn.metrics import roc_curve

def sensivity_specifity_cutoff(y_true, y_score):
    '''Find data-driven cut-off for classification
    
    Cut-off is determied using Youden's index defined as sensitivity + specificity - 1.
    
    Parameters
    ----------

mohapatras

I had many driver installed I my virtual machine , so It was actually the reason why I was having the error.

To fix it I had first to remove all driver I have installed before using :

• sudo apt-get purge nvidia-*
• sudo apt-get update -sudo apt-get autoremove

After that I when a head and installed the latest version of it nvidia driver:

I did :

mohapatras

Installing the NVIDIA driver, CUDA and cuDNN on Linux (Ubuntu 20.04)

This is a companion piece to my instructions on building TensorFlow from source. In particular, the aim is to install the following pieces of software

• NVIDIA graphics card driver (v450.57)
• CUDA (v11.0.2)
• cuDNN (v8.0.2.39)

on an Ubuntu Linux system, in particular Ubuntu 20.04.

mohapatras

To check nvidia driver

modinfo nvidia

To check cuda version

cat /usr/local/cuda/version.txt

mohapatras

FROM: http://benanne.github.io/2015/03/17/plankton.html

Meta-Tricks:
	- Use %10 for validation with STRATIFIED SAMPLING (my mistake)
	- Cyclic Pooling 
	- Leaky ReLU = max(x, a*x) learned a
		- reduces overfitting with a ~= 1/3
	- Orthogonal initialization http://arxiv.org/pdf/1312.6120v3.pdf
	- Use larger weight decay for larger models since otherwise some layers might diverge

mohapatras

// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console