yudhiesh

import logging
import os
import uuid
from functools import (
    partial,
)
from typing import (
    List,
    Optional,
)

yudhiesh

import lightgbm as lgb
import mlflow
import optuna
from optuna.integration import LightGBMPruningCallback
from datetime import datetime
from sklearn.metrics import roc_auc_score, log_loss
from sklearn.datasets import load_breast_cancer
from sklearn.model_selection import train_test_split

yudhiesh

import pandas as pd
import numpy as np
import lightgbm as lgb
import optuna
from optuna.integration import LightGBMPruningCallback
from sklearn.metrics import log_loss, roc_auc_score

def get_features_labels(df, target_columns):
    """
    Splits the dataframe into features and labels