vilsonrodrigues

[openai_runtime_smoke_agent][artifacts]
<system_note>
<artifacts code_interpreter="python_interpreter" namespace="artifacts">
<artifact name="runtime_notes" filename="runtime_notes.txt" size="567"
unit="bytes"/>
</artifacts>
</system_note>
[openai_runtime_smoke_agent][call_model]
gen_ai.module.start: {"module_name": "openai_runtime_smoke_agent",
"module_type": "agent", "scope": {"namespace": "default", "session_id":

vilsonrodrigues

# /// script
# dependencies = []
# ///
#
# Run this server with:
#
#   uv run --with 'msgflux[server,openai]' msgflux server \
#     examples/server_streaming_agent.py:registry --host 127.0.0.1
#
# The server listens on http://127.0.0.1:8010/v1 by default and exposes:

vilsonrodrigues

import asyncio
import math
import re
from collections import defaultdict
from datetime import datetime, timedelta
from typing import Callable, Dict, List, Optional, Union


class BasicDBConnector:
  

vilsonrodrigues

kfolds = 5
scores = cross_val_score(modelo, x, Y, cv = kfolds, scoring = "accuracy") 
print("Resultado dos k testes", scores)
print("Média dos testes", scores.mean())
print("Desvio Padrão dos testes", scores.std())

vilsonrodrigues

from sklearn.model_selection import cross_val_score
import Numpy as np