CMCDragonkai

import numpy as np
import matplotlib.pyplot as plt

# ensure your arr is sorted from lowest to highest values first!
arr = np.array([1,4,6,9,100])

def gini(arr):
    count = arr.size
    coefficient = 2 / count
    indexes = np.arange(1, count + 1)

redknightlois

class Ralamb(Optimizer):

    def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_decay=0):
        defaults = dict(lr=lr, betas=betas, eps=eps, weight_decay=weight_decay)
        self.buffer = [[None, None, None] for ind in range(10)]
        super(Ralamb, self).__init__(params, defaults)

    def __setstate__(self, state):
        super(Ralamb, self).__setstate__(state)

iiSeymour

#!/usr/bin/env python

import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'

import sys
import torch
import numpy as np
import tensorflow as tf
from time import perf_counter

jitsejan

FROM jupyter/pyspark-notebook
USER root
# Add essential packages
RUN apt-get update && apt-get install -y build-essential curl git gnupg2 nano apt-transport-https software-properties-common
# Set locale
RUN apt-get update && apt-get install -y locales \
    && echo "en_US.UTF-8 UTF-8" > /etc/locale.gen \
    && locale-gen
# Add config to Jupyter notebook
COPY jupyter/jupyter_notebook_config.py /home/jovyan/.jupyter/

rodgtr1

#!/bin/bash
set -e

# specify your MFA_DEVICE_ARN
MFA_DEVICE_ARN=YOURMFAARN
PATH_TO_CREDENTIALS_FILE=/path/to/.aws/credentials
echo $PATH_TO_CREDENTIALS_FILE
#1H = 3600
#2H = 7200
#3H = 10800