tibaes

eXtreme Go Horse (XGH) Process

Source: http://gohorseprocess.wordpress.com


1. I think therefore it's not XGH.
In XGH you don't think, you do the first thing that comes to your mind. There's not a second option as the first one is faster.

2. There are 3 ways of solving a problem: the right way, the wrong way and the XGH way which is exactly like the wrong one but faster.
XGH is faster than any development process you know (see Axiom 14).

tibaes

#!/bin/bash

# Assuming AWS Sagemaker conda_pytorch_p310 environment

sudo yum install -y openssl-devel openssl11-libs libcurl
pip install --upgrade pip setuptools wheel
pip install fiftyone
pip install fiftyone-db-rhel7 --force-reinstall
pip install shapely polars

tibaes

extern crate ring;

use ring::aead::*;
use ring::pbkdf2::*;
use ring::rand::SystemRandom;

fn main() {
    // The password will be used to generate a key
    let password = b"nice password";

tibaes

tibaes

tibaes

from scipy.optimize import curve_fit

def logistic(x, x0, L, k):
    return L / (1.0 + np.exp(-k*(x - x0)))

def resample(X, y) -> np.array:
    X = np.array(X)
    y = np.array(y)
    bounds = (0, [1.0, np.max(y), 1000])
    popt, pcov = curve_fit(logistic, X, y, bounds=bounds)

tibaes

tibaes

# opencv-python
# google-cloud-storage
# google-cloud-vision

from google.cloud import storage
from google.cloud import vision
import numpy as np
import cv2 as cv
import logging
import os

tibaes

import pandas as pd
import numpy as np
import logging
from google.cloud import storage
from lightgbm import LGBMRegressor
from sklearn.externals import joblib
from sklearn.impute import SimpleImputer
from sklearn.preprocessing import OrdinalEncoder

num_feat = ['MSSubClass', 'LotFrontage', 'LotArea',

tibaes

General configuration for OpenCV 3.4.1 =====================================
--   Version control:               unknown
-- 
--   Extra modules:
--     Location (extra):            /root/opencv_contrib-3.4.1/modules
--     Version control (extra):     unknown
-- 
--   Platform:
--     Timestamp:                   2018-04-27T12:18:50Z
--     Host:                        Linux 4.9.87-linuxkit-aufs x86_64