eduardvercaemer

hook global BufCreate .*\.(ad[sb]) %{
    set-option buffer filetype ada
}

hook global WinSetOption filetype=ada %{
    require-module ada
    set-option window static_words %opt{ada_static_words}
}

hook -group ada-highlight global WinSetOption filetype=ada %{

eduardvercaemer

// ==UserScript==
// @name         Export SLR Parser Automata to C
// @namespace    http://tampermonkey.net/
// @version      2024-04-23
// @description  Export SLR Parser Automata to C
// @author       Ed
// @match        https://jsmachines.sourceforge.net/machines/slr.html
// @icon         https://www.google.com/s2/favicons?sz=64&domain=sourceforge.net
// @grant        none
// ==/UserScript==

eduardvercaemer

declare global {
  interface Env {
    readonly CASTER: DurableObjectNamespace;
    readonly RATE_LIMITER: {
      limit(opt: { key: string }): Promise<{ success?: boolean }>;
    };
  }
}

// noinspection JSUnusedGlobalSymbols

eduardvercaemer

import {
  type DependencyContainer,
  type InjectionToken,
  container,
  inject,
  injectable,
  injectWithTransform,
} from "tsyringe";
import type Transform from "tsyringe/dist/typings/types/transform";

eduardvercaemer

# **Regresión Lineal Multivariable**
import numpy as np
import pandas as pd
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_error, r2_score
#from sklearn.preprocessing import PolynomialFeatures
Ahora, la descripción de la venta de coches se realizó por medio del número de la semana y el día de la semana (dos variables)
**Set de datos**

data = pd.read_csv('Fish.csv')

eduardvercaemer

# nginx -p "$PWD" -c nginx/nginx.conf
worker_processes 1;
error_log stderr;
daemon off;
pid nginx/nginx.pid;

events {
	worker_connections 512;
}

eduardvercaemer

fn main() {
    ::capnpc::CompilerCommand::new()
        .src_prefix("src")
        .output_path("src")
        .file("src/hello.capnp")
        .run()
        .unwrap();
}