thierrymoudiki

convert ipynb to anythings

See also https://minrk-nbconvert.readthedocs.io/en/stable/usage.html

jupyter nbconvert --to pdf notebook.ipynb

thierrymoudiki

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

thierrymoudiki

curl -sL https://github.com/owner/repo/archive/refs/tags/vX.X.X.tar.gz | openssl sha256

thierrymoudiki

#' 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

thierrymoudiki

# 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",         

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))