code: def precision_recall_curves_plot(
      precision_recalls: Dict[str, List[float]],
      model_names: List[str],
      title: str = None,
      filename: str = None,
      callbacks=None,
  ):
      """Generates a precision recall curve for each model in the model_names list.
  
      Args:
          precision_recalls: A list of dictionaries representing the precision and recall values for each model
              in model_names. Each dictionary has two keys: "precisions" and "recalls".
      """
      sns.set_style("whitegrid")
  
      colors = plt.get_cmap("tab10").colors
  
      _, ax = plt.subplots()
  
      ax.set_xlim(0, 1)
      # Create ticks for every 0.1 increment
      ax.set_xticks(np.linspace(0, 1, 11))
      ax.set_xlabel("Recall")
  
      ax.set_ylim(0, 1)
      # Create ticks for every 0.1 increment
      ax.set_yticks(np.linspace(0, 1, 11))
      ax.set_ylabel("Precision")
  
      if title is not None:
          ax.set_title(title)
  
      for i in range(len(precision_recalls)):
          model_name = (
              model_names[i]
              if model_names is not None and i < len(model_names)
              else ""
          )
          ax.plot(
              precision_recalls[i]["recalls"],
              precision_recalls[i]["precisions"],
              label=model_name,
              color=colors[i],
              linewidth=3,
          )
  
      ax.legend(frameon=True)
      plt.tight_layout()
      visualize_callbacks(callbacks, plt.gcf())
      if filename:
          plt.savefig(filename)
      else:
          plt.show()
  
imports: import copy
  import logging
  from collections import Counter
  from sys import platform
  from typing import Dict, List
  import numpy
  import pandas
  import ptitprince
  from packaging import version
  from ludwig.constants import SPACE, TRAINING, VALIDATION
label_desc: Use image node_id 15 for calling a global function with example usage: precision_recall_curves_plot(precision_recalls, model_names, title, filename, callbacks) without return types