daveebbelaar

import optuna
import xgboost as xgb
from sklearn.metrics import mean_squared_error # or any other metric
from sklearn.model_selection import train_test_split

# Load the dataset
X, y = ... # load your  own
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

# Define the objective function for Optuna

daveebbelaar

# --------------------------------------------------------------
# Customer Support Ticket Classification System
# --------------------------------------------------------------

import instructor
from pydantic import BaseModel, Field
from openai import OpenAI
from enum import Enum
from typing import List

daveebbelaar

import logging
import requests
import time
from typing import Union, Dict
from config.settings import get_settings


class DocumentIntelligenceService:
    """
    A service class for interacting with Azure Document Intelligence API.