cristianounix

class NeuralNetwork:
    def __init__(self, x, y):
        self.input      = x
        self.weights1   = np.random.rand(self.input.shape[1],4) 
        self.weights2   = np.random.rand(4,1)                 
        self.y          = y
        self.output     = np.zeros(self.y.shape)

    def feedforward(self):
        self.layer1 = sigmoid(np.dot(self.input, self.weights1))

cristianounix

#!/bin/bash
if [ -s "$1" ]

then
    MONGO_STATUS=$(docker inspect -f {{.State.Running}} mongo)
    if [ "$MONGO_STATUS" != "true" ]
    then
        echo "Mongo is not running"
        exit 1
    fi

cristianounix

#!/bin/bash
if [ -s "$1" ]
then
    if [ "$(docker inspect -f {{.State.Running}} database)" != "true" ]
    then
        echo "Container MySql is not running"
        exit 1
    fi
else
    echo "Syntax: $0 <filename>"

cristianounix

git filter-branch --env-filter '
WRONG_EMAIL="cristiano.oliveira@venturus.org.br"
NEW_NAME="Cristiano S. Oliveira"
NEW_EMAIL="cristianounix@gmail.com"

if [ "$GIT_COMMITTER_EMAIL" = "$WRONG_EMAIL" ]
then
    export GIT_COMMITTER_NAME="$NEW_NAME"
    export GIT_COMMITTER_EMAIL="$NEW_EMAIL"
fi

cristianounix

make_data_corr = function(corr, n){
  x = rnorm(n,0,1)
  y = rnorm(n,0,1)
  a = corr/(1-corr^2)^0.5
  z=a*x+y
  the_data = data.frame(x,z)
  return(the_data)
}

data=make_data_corr(0.99,50)

cristianounix

╔══════╦═════════════╗
║ Dias ║ Altura (cm) ║
╠══════╬═════════════╣
║   10 ║           5 ║
║   12 ║           6 ║
║   13 ║           7 ║
║   15 ║           8 ║
║   19 ║          13 ║
║   25 ║          16 ║
╚══════╩═════════════╝

cristianounix

# tks jerimi ann walker

make_data_correlated = function(corr, n){
  x = rnorm(n,0,1)
  y = rnorm(n,0,1)
  a = corr/(1-corr^2)^0.5
  z=a*x+y
  the_data = data.frame(x,z)
  return(the_data)
}

cristianounix

# -*- coding:utf-8 -*-
import scrapy
from scrapy.exceptions import CloseSpider


class LoginSpider(scrapy.Spider):
    name = 'login-spider'
    start_urls = ['http://quotes.toscrape.com/login']

    def parse(self, response):

cristianounix

// Requires: http://cloud.github.com/downloads/harthur/brain/brain-0.6.0.js

// Contrived example using string "0" as output.

var net = new brain.NeuralNetwork();

net.train([{input: [0, 0], output: {"F":1}},
           {input: [0, 1], output: {"1":1}},
           {input: [1, 0], output: {"1":1}},
           {input: [1, 1], output: {"0":1}}]);

cristianounix

/*

DESCRIPTION
-----------
Use NodeJS to read RFID ids through the USB serial stream. Code derived from this forum:
http://groups.google.com/group/nodejs/browse_thread/thread/e2b071b6a70a6eb1/086ec7fcb5036699

CODE REPOSITORY
---------------
https://gist.github.com/806605