class_docstr: BERT single sentence (or concatenated sentences) regression.
class_docstr_tok: ["BERT","single","sentence","(","or","concatenated","sentences",")","regression","."]
code: def __init__(self, encoder, decoder, output_layer) -> None:
      super().__init__(encoder, decoder, output_layer)
      log_class_usage(__class__)
  
file_path: pytext/pytext/models/bert_regression_model.py
imports: from typing import Dict, Optional
  from pytext.config import ConfigBase
  from pytext.data.bert_tensorizer import BERTTensorizer
  from pytext.data.tensorizers import NumericLabelTensorizer, Tensorizer
  from pytext.models.bert_classification_models import BertPairwiseModel, NewBertModel
  from pytext.models.decoders.mlp_decoder import MLPDecoder
  from pytext.models.module import create_module
  from pytext.models.output_layers import PairwiseCosineRegressionOutputLayer, RegressionOutputLayer
  from pytext.utils.usage import log_class_usage
label_desc: Use image node_id 2 to create a new NewBertRegressionModel object from inherited base classes: NewBertModel with example: obj = NewBertRegressionModel(encoder, decoder, output_layer)