class_docstr: Manages data sample with low valuation.
class_docstr_tok: ["Manages","data","sample","with","low","valuation","."]
code: def __init__(
      self,
      datalab: Datalab,
      threshold: Optional[float] = None,
      k: int = 10,
      **kwargs,
  ):
      super().__init__(datalab)
      self.k = k
      self.threshold = (
          threshold
          if threshold is not None
          else self.DEFAULT_THRESHOLDS
      )
  
file_path: cleanlab/cleanlab/datalab/internal/issue_manager/data_valuation.py
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union
  import numpy
  import pandas
  from scipy.sparse import csr_matrix
  from cleanlab.datalab.internal.issue_manager import IssueManager
label_desc: Use image node_id 1 to create a new DataValuationIssueManager object from inherited base classes: IssueManager with example: obj = DataValuationIssueManager(datalab, threshold, k)