Thierry Moudiki thierrymoudiki

Uploading a Python Package to PyPI from the Command Line

pip install -U build twine setuptools wheel

jupyter nbconvert --to pdf notebook.ipynb

	url <- "https://raw.githubusercontent.com/Techtonique/datasets/refs/heads/main/time_series/multivariate/dieboldli2006.txt"

	parse_time_series_url <- function(url) {
	response <- httr::GET(url)
	content <- httr::content(response, "text")
	lines <- strsplit(content, "\n")[[1]]

	data_list <- list()

	for (line in lines) {

	\begin{figure}[ht]
	\centering
	\includegraphics[width=0.9\textwidth]{figure5_model_comparison_summary.pdf}
	\caption{Comprehensive model comparison...}
	\end{figure}

	#' Convert formula-based model function to matrix interface
	#'
	#' @param fit_func Function accepting formula and data
	#' @param predict_func Optional prediction function
	#' @param intercept Include intercept in formula (default TRUE)
	#' @return List with fit and predict methods
	formula_to_matrix <- function(fit_func, predict_func = NULL, intercept = TRUE) {

	fit_wrapper <- function(X, y, ...) {
	# Input validation

	# Run Bayesian optimization minimizing rmse

	remotes::install_github("thierrymoudiki/bayesianrvfl")

	> head(bayesianrvfl::bayes_opt)

	# function (objective, lower, upper, type_acq = c("ei", "ucb"),
	# nb_init = 10L, nb_iter = 90L, kappa = 1.96, method = c("standard",
	# "direct_online", "polyak_online"), surrogate_model = c("rvfl",
	# "matern52", "rvfl_emcee", "rf"), optim_surr = c("GCV",

	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',

	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% {

	#!/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"