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","."]
code: def __init__(self) -> None:
      self._chain_warnings: Dict[int, List[SamplerWarning]] = {}
      self._global_warnings: List[SamplerWarning] = []
      self._n_tune = None
      self._n_draws = None
      self._t_sampling = None
  
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 1 to create a new SamplerReport object  with example: obj = SamplerReport()