daveebbelaar

from typing import Any, Dict, List, Type

import instructor
from anthropic import Anthropic
from config.settings import get_settings
from openai import OpenAI
from pydantic import BaseModel, Field


class LLMFactory:

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.

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 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