code: def classifier_monitor_all_scores(
      sentiment_classifier_all_scores,
      classifier_dataset,
      monkeypatch,
  ):
      monitor = argilla.monitor(
          sentiment_classifier_all_scores,
          dataset=classifier_dataset,
          sample_rate=1.0,
          log_interval=0.5,
      )
  
      return monitor
  
imports: from time import sleep
  from typing import List, Union
  import argilla
  import pytest
  from argilla.client.models import TextClassificationRecord
  from tests.integration.utils import delete_ignoring_errors
label_desc: Use image node_id 4 for calling a global function with example usage: classifier_monitor_all_scores(sentiment_classifier_all_scores, classifier_dataset, monkeypatch) and returns: monitor