class_docstr: Calculates and returns regression results from model outputs.
class_docstr_tok: ["Calculates","and","returns","regression","results","from","model","outputs","."]
code: def is_compatible(
      self, model: lit_model.Model, dataset: lit_dataset.Dataset
  ) -> bool:
      del dataset  # Unused as regressions depend on model only
      return lit_utils.spec_contains(
          model.output_spec(), types.RegressionScore
      )
  
file_path: lit/lit_nlp/components/regression_results.py
imports: from typing import cast, Optional
  from lit_nlp.api import components
  from lit_nlp.api import dataset
  from lit_nlp.api import dtypes
  from lit_nlp.api import model
  from lit_nlp.api import types
  from lit_nlp.lib import utils
label_desc: Use image node_id 2 for calling the RegressionInterpreter obj's underlying member method code with example usage: obj.is_compatible(model, dataset) and returns: lit_utils