class_docstr: Bundle warnings, convergence stats and metadata of a sampling run.
class_docstr_tok: ["Bundle","warnings",",","convergence","stats","and","metadata","of","a","sampling","run","."]
docstr: Number of tune iterations - not necessarily kept in trace!
docstr_tok: ["Number","of","tune","iterations","-","not","necessarily","kept","in","trace","!"]
code: def n_tune(self) -> Optional[int]:
      """Number of tune iterations - not necessarily kept in trace!"""
      return self._n_tune
  
file_path: pymc/pymc/backends/report.py
imports: import dataclasses
  import logging
  from typing import Dict, List, Optional
  from pymc.stats.convergence import _LEVELS, SamplerWarning
label_desc: Use image node_id 4 for calling the SamplerReport obj's underlying member method code with example usage: obj.n_tune() and returns: self