class_docstr: NeuroNER model.
  
  Args:
      param_filepath (type): description
      pretrained_model_folder (type): description
      dataset_text_folder (type): description
      character_embedding_dimension (type): description
      character_lstm_hidden_state_dimension (type): description
      check_for_digits_replaced_with_zeros (type): description
      check_for_lowercase (type): description
      debug (type): description
      dropout_rate (type): description
      experiment_name (type): description
      freeze_token_embeddings (type): description
      gradient_clipping_value (type): description
      learning_rate (type): description
      load_only_pretrained_token_embeddings (type): description
      load_all_pretrained_token_embeddings (type): description
      main_evaluation_mode (type): description
      maximum_number_of_epochs (type): description
      number_of_cpu_threads (type): description
      number_of_gpus (type): description
      optimizer (type): description
      output_folder (type): description
      output_scores (bool): description
      patience (type): description
      plot_format (type): description
      reload_character_embeddings (type): description
      reload_character_lstm (type): description
      reload_crf (type): description
      reload_feedforward (type): description
      reload_token_embeddings (type): description
      reload_token_lstm (type): description
      remap_unknown_tokens_to_unk (type): description
      spacylanguage (type): description
      tagging_format (type): description
      token_embedding_dimension (type): description
      token_lstm_hidden_state_dimension (type): description
      token_pretrained_embedding_filepath (type): description
      tokenizer (type): description
      train_model (type): description
      use_character_lstm (type): description
      use_crf (type): description
      use_pretrained_model (type): description
      verbose (type): description
class_docstr_tok: ["NeuroNER","model",".","Args",":","param_filepath","(","type",")",":","description","pretrained_model_folder","(","type",")",":","description","dataset_text_folder","(","type",")",":","description","character_embedding_dimension","(","type",")",":","description","character_lstm_hidden_state_dimension","(","type",")",":","description","check_for_digits_replaced_with_zeros","(","type",")",":","description","check_for_lowercase","(","type",")",":","description","debug","(","type",")",":","description","dropout_rate","(","type",")",":","description","experiment_name","(","type",")",":","description","freeze_token_embeddings","(","type",")",":","description","gradient_clipping_value","(","type",")",":","description","learning_rate","(","type",")",":","description","load_only_pretrained_token_embeddings","(","type",")",":","description","load_all_pretrained_token_embeddings","(","type",")",":","description","main_evaluation_mode","(","type",")",":","description","maximum_number_of_epochs","(","type",")",":","description","number_of_cpu_threads","(","type",")",":","description","number_of_gpus","(","type",")",":","description","optimizer","(","type",")",":","description","output_folder","(","type",")",":","description","output_scores","(","bool",")",":","description","patience","(","type",")",":","description","plot_format","(","type",")",":","description","reload_character_embeddings","(","type",")",":","description","reload_character_lstm","(","type",")",":","description","reload_crf","(","type",")",":","description","reload_feedforward","(","type",")",":","description","reload_token_embeddings","(","type",")",":","description","reload_token_lstm","(","type",")",":","description","remap_unknown_tokens_to_unk","(","type",")",":","description","spacylanguage","(","type",")",":","description","tagging_format","(","type",")",":","description","token_embedding_dimension","(","type",")",":","description","token_lstm_hidden_state_dimension","(","type",")",":","description","token_pretrained_embedding_filepath","(","type",")",":","description","tokenizer","(","type",")",":","description","train_model","(","type",")",":","description","use_character_lstm","(","type",")",":","description","use_crf","(","type",")",":","description","use_pretrained_model","(","type",")",":","description","verbose","(","type",")",":","description"]
code: def __del__(self):
      self.sess.close()
  
imports: import codecs
  import configparser
  import copy
  import distutils.util
  import glob
  import os
  import pickle
  from pprint import pprint
  import random
  import shutil
  import sys
  import time
  import warnings
  import pkg_resources
  import numpy
  import matplotlib
  import tensorflow
  from tensorflow.contrib.tensorboard.plugins import projector
  from neuroner import train
  from neuroner import dataset
  from neuroner.entity_lstm import EntityLSTM
  from neuroner import utils
  from neuroner import conll_to_brat
  from neuroner import evaluate
  from neuroner import brat_to_conll
  from neuroner import utils_nlp
label_desc: Use image node_id 9 for calling the NeuroNER obj's underlying member method code with example usage: obj.__del__() without return types