thierrymoudiki

# Run Bayesian optimization minimizing rmse

res_rmse <- bayesianrvfl::bayes_opt(
  objective_function_rmse,
  lower = c(3L, 1L, -4, -4, 5, 0),
  upper = c(40L, 100L, 5, 5, 200, 5L),
  init_points = 10,
  n_iter = 50
)

thierrymoudiki

from sklearn.utils import all_estimators
from tqdm import tqdm


# Get all scikit-learn regressors
estimators = all_estimators(type_filter='regressor')

for name, RegressorClass in tqdm(estimators):

    if name in ['MultiOutputRegressor', 'MultiOutputClassifier', 'StackingRegressor', 'StackingClassifier',

thierrymoudiki

library(doSNOW)
library(tcltk)

cl <- makeSOCKcluster(2)
registerDoSNOW(cl)

pb <- txtProgressBar(max=100, style=3)
progress <- function(n) setTxtProgressBar(pb, n)
opts <- list(progress=progress)
r <- foreach(i=1:100, .options.snow=opts) %dopar% {

thierrymoudiki

#!/bin/bash

# first, install jq: on macOS, brew install jq 

wget https://raw.githubusercontent.com/Techtonique/datasets/refs/heads/main/tabular/survival/gbsg2_2.csv

# === CONFIG ===
JSON_FILE="survival_curves.json"
CSV_FILE="survival_curves.csv"
PLOT_FILE="survival_plot.png"

thierrymoudiki

#!/bin/bash

# === CONFIG ===
OUTPUT_JSON="sims.json"
OUTPUT_CSV="sims.csv"
OUTPUT_IMAGE="plot.png"

# === 1. Prompt for Bearer token ===
read -p "Enter your Bearer token: " AUTH_TOKEN

thierrymoudiki

.PHONY: clean getwd initialize help render-rnw render-rmd setwd
.DEFAULT_GOAL := help

define BROWSER_PYSCRIPT
import os, webbrowser, sys
from urllib.request import pathname2url

# The input is expected to be the full HTML filename
filename = sys.argv[1]
filepath = os.path.abspath(os.path.join(filename))

thierrymoudiki

import numpy as np 
from typing import Any, Callable, Iterable
from math import factorial
from itertools import chain, combinations

class ShapFromScratchExplainer():
    def __init__(self,
                 model: Callable[[np.ndarray], float], 
                 background_dataset: np.ndarray,
                 max_samples: int = None):

thierrymoudiki

First, navigate to https://www.techtonique.net/token to obtain your token (token = what appears after 'Authorization: Bearer' below). Get data from: https://github.com/Techtonique/datasets, and download the datasets to your local machine. Translate to your favorite language, using https://curlconverter.com/.

1 - Forecasting

1 - 1 univariate forecasting

thierrymoudiki

.PHONY: build buildsite check clean cleanvars coverage docs getwd initialize install installcranpkg installgithubpkg installedpkgs load removepkg render setwd start test usegit
.DEFAULT_GOAL := help

# The directory where R files are stored
R_DIR = ./R

define BROWSER_PYSCRIPT
import os, webbrowser, sys
from urllib.request import pathname2url

thierrymoudiki

# rm(list=ls())
install.packages('learningmachine', 
                 repos = c('https://techtonique.r-universe.dev', 
                           'https://cloud.r-project.org'))
# or
# install.packages("remotes", repos = c(CRAN="https://cloud.r-project.org"))
#remotes::install_github("Techtonique/learningmachine")

library(learningmachine)