chunsj

{-# LANGUAGE TypeSynonymInstances #-}
data Dual d = D Float d deriving Show
type Float' = Float

diff :: (Dual Float' -> Dual Float') -> Float -> Float'
diff f x = y'
  where D y y' = f (D x 1)

class VectorSpace v where
  zero  :: v

chunsj

(defpackage bo
  (:use :common-lisp :alexandria :serapeum :trivia))
(in-package :bo)

;;;; Bayesian Optimization based on Tree-structured Parzen Estimator and naive-Bayes.
;;;
;;; based on Rust code at https://docs.rs/tpe/0.1.1/tpe/
;;; which is inspired by https://optuna.org/
;;; which is inspired by http://hyperopt.github.io/hyperopt/
;;; which is described in https://proceedings.neurips.cc/paper/2011/file/86e8f7ab32cfd12577bc2619bc635690-Paper.pdf

chunsj

Transducers and Reducers

Notes and examples of Transducers and Reducers

Reducers

• Used on collections

• Eager evaluation only. (not lazy)

chunsj

import numpy as np
import pandas as pd
from pandas_datareader import data as web
from sklearn import linear_model

class ScikitBacktest(object):
    def __init__(self,sys):
        self.lags = 5
        self.symbol = sys
        self.get_data()

chunsj

package main

import (
	"log"
	"syscall"
	"unsafe"
)

var (
	kernel32 = syscall.NewLazyDLL("kernel32.dll")

chunsj

#!/usr/bin/env sh

##
# This is script with usefull tips taken from:
#   https://github.com/mathiasbynens/dotfiles/blob/master/.osx
#
# install it:
#   curl -sL https://gist.github.com/dillera/8108813/raw/ed65b97d3b910cb3536c3e522d4baebd442ff512/hack.sh | sh
#