class_docstr: A subclass of [`AllenNlpTestCase`](./test_case.md)
  with added methods for testing [`Model`](../../models/model.md) subclasses.
class_docstr_tok: ["A","subclass","of","[","`","AllenNlpTestCase","`","]","(",".\/test_case.md",")","with","added","methods","for","testing","[","`","Model","`","]","(","..","\/","..","\/models\/model.md",")","subclasses","."]
code: def set_up_model(
      self,
      param_file: PathLike,
      dataset_file: PathLike,
      serialization_dir: PathLike = None,
      seed: int = None,
  ):
      if seed is not None:
          random.seed(seed)
          numpy.random.seed(seed)
          torch.manual_seed(seed)
  
      self.param_file = str(param_file)
      params = Params.from_file(self.param_file)
  
      reader = DatasetReader.from_params(
          params["dataset_reader"], serialization_dir=serialization_dir
      )
      # The dataset reader might be lazy, but a lazy list here breaks some of our tests.
      instances = list(reader.read(str(dataset_file)))
      # Use parameters for vocabulary if they are present in the config file, so that choices like
      # "non_padded_namespaces", "min_count" etc. can be set if needed.
      if "vocabulary" in params:
          vocab_params = params["vocabulary"]
          vocab = Vocabulary.from_params(
              params=vocab_params, instances=instances
          )
      else:
          vocab = Vocabulary.from_instances(instances)
      self.vocab = vocab
      self.instances = instances
      self.model = Model.from_params(
          vocab=self.vocab,
          params=params["model"],
          serialization_dir=serialization_dir,
      )
  
      # TODO(joelgrus) get rid of these
      # (a lot of the model tests use them, so they'll have to be changed)
      self.dataset = Batch(self.instances)
      self.dataset.index_instances(self.vocab)
  
imports: import copy
  import json
  from os import PathLike
  import random
  from typing import Any, Dict, Iterable, Set, Union
  import torch
  import numpy
  from numpy.testing import assert_allclose
  from allennlp.commands.train import train_model_from_file
  from allennlp.common import Params
  from allennlp.common.testing.test_case import AllenNlpTestCase
  from allennlp.data import DatasetReader, Vocabulary
  from allennlp.data import DataLoader
  from allennlp.data.batch import Batch
  from allennlp.models import load_archive, Model
  from allennlp.training import GradientDescentTrainer
  from allennlp.confidence_checks.normalization_bias_verification import NormalizationBiasVerification
label_desc: Use image node_id 1 for calling the ModelTestCase obj's underlying member method code with example usage: obj.set_up_model(param_file, dataset_file, serialization_dir, seed) without return types