class_docstr: Returns data for rendering ROC and Precision-Recall curves.
code: def meta_spec(self) -> types.Spec:
      return {
          ROC_DATA: types.CurveDataPoints(),
          PR_DATA: types.CurveDataPoints(),
      }
  
file_path: lit/lit_nlp/components/curves.py
imports: from collections.abc import Sequence
  from typing import cast, Optional
  from lit_nlp.api import components
  from lit_nlp.api import dataset
  from lit_nlp.api import model
  from lit_nlp.api import types
  from lit_nlp.lib import utils
  import numpy
  from sklearn import metrics
label_desc: Use image node_id 4 for calling the CurvesInterpreter obj's underlying member method code with example usage: obj.meta_spec() and returns: dict