zcaudate

Keybase proof

I hereby claim:

• I am zcaudate on github.
• I am zcaudate (https://keybase.io/zcaudate) on keybase.
• I have a public key ASCGkiFF1W_OVVZqtwQZXTIGgu8XZivaCKUZ3rL3jBrRXAo

To claim this, I am signing this object:

zcaudate

#! /usr/bin/env bash

# Insert a USB key.
# if needed initialize it with MS/DOS FAT and MBR

# Download the Mint ISO image
# Convert the ISO -> IMG
hdiutil convert -format UDRW -o  linuxmint-18.3-cinnamon-64bit  linuxmint-18.3-cinnamon-64bit.iso

# Run a diskutil list to know the device for the USB key, e.g.: /dev/disk3

zcaudate

My Awesome Sketch
  First State
    some event -> Second State
    
  Second State
    click -> First State

zcaudate

export DYLD_LIBRARY_PATH=/usr/local/opt/gdal2/lib:$DYLD_LIBRARY_PATH

zcaudate

(ns cljplot.sketches.fx
  (:require [cljplot.render :as r]
            [cljplot.build :as b]
            [cljplot.common :refer :all]
            [fastmath.interpolation :as in]
            [fastmath.stats :as stats]
            [clojure2d.color :as c]
            [cljplot.scale :as s]
            [fastmath.core :as m]
            [fastmath.random :as rnd]

zcaudate

;; gorilla-repl.fileformat = 1

;; **
;;; # Regression applied to the Ames dataset
;;; 
;;; This is an attempt to use every trick in the books to unleash the full power of Linear Regression, including a lot of preprocessing and a look at several Regularization algorithms. 
;;; 
;;; The [original article](https://www.kaggle.com/juliencs/a-study-on-regression-applied-to-the-ames-dataset) was done as part of the [Ames Housing Dataset](https://www.kaggle.com/c/house-prices-advanced-regression-techniques) Kaggle Competition. This kernal has been ported to clojure and makes use of the [tech.ml](https://github.com/techascent/tech.ml) stack of libraries. The [original translation](https://nbviewer.jupyter.org/github/cnuernber/ames-house-prices/blob/acb961538e9b1cbbef8fb1733ecdd4b0012ffd89/ames-housing-prices-clojure.ipynb) was done by [Chris Nuernberger](https://github.com/cnuernber/ames-house-prices). Additionally, introductory dataset exploration has been taken from [another analysis](https://www.kaggle.com/pmarcel

zcaudate

function simulate(element, eventName)
{
    var options = extend(defaultOptions, arguments[2] || {});
    var oEvent, eventType = null;

    for (var name in eventMatchers)
    {
        if (eventMatchers[name].test(eventName)) { eventType = name; break; }
    }

zcaudate

(ns hara.state.ova
  (:require [clojure.set :as set]
            [hara.core.base.error :as error]
            [hara.core.base.shorthand :as hand]
            [hara.core.base.util :as util]
            [hara.state.base.common :as common]
            [hara.state :as state]
            [hara.watch :as watch]))

(defn- ova-state

zcaudate

FROM https://stackoverflow.com/questions/45372848/docker-swarm-how-to-find-out-why-service-cant-start

journalctl -u docker.service | tail -n 50 
It depends on your OS. Here are the few locations, with commands for few Operating Systems:

Ubuntu (old using upstart ) - /var/log/upstart/docker.log
Ubuntu (new using systemd ) - journalctl -u docker.service
Boot2Docker - /var/log/docker.log
Debian GNU/Linux - /var/log/daemon.log
CentOS - /var/log/daemon.log | grep docker

zcaudate

(ns libc
  (:require [jise.core :refer [defclass]])
  (:import (jnr.ffi LibraryLoader
                    Pointer
                    Struct
                    Struct$SignedLong
                    Struct$time_t)
           (jnr.ffi.annotations Out Transient)))

;;