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="[email protected]"
NEW_NAME="Cristiano S. Oliveira"
NEW_EMAIL="[email protected]"

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

var http = require("http");
var fs = require("fs");

var index = fs.readFileSync("index.html");


  var mongoose = require('mongoose');
  mongoose.connect('mongodb://localhost/test');

  var db = mongoose.connection;

cristianounix

//
//  QSQLite3.swift
//  SQLiteWrapper
//
//  Created by Danilo Altheman on 24/06/15.
//  Copyright © 2015 Quaddro - Danilo Altheman. All rights reserved.
/* Usage:
        // Open or create a Database
        let database = QSQLite3(path: NSHomeDirectory() + "/Documents/database.sqlite")