import xgboost as xgb
from sklearn.model_selection import GridSearchCV, train_test_split
from sklearn.datasets import make_regression
from sklearn.metrics import mean_squared_error
import os
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import math
import random
path_to_directory = '~/repositories/conformal-venn-abers'
full_path = os.path.expanduser(path_to_directory)
os.chdir(full_path)
from data_analysis.data_analysis_utils import *
from data_analysis.competitors import *
from data_analysis.condconf import *
run_conditional_kernel
reticulate::repl_python()
