code: def _filter_fp_nums(phrase):
      if len(phrase) > 0:
          try:
              # check for float number
              float(phrase.text.replace(",", ""))
              return None
          except ValueError:
              return phrase
      return phrase
  
imports: import pickle
  from os import path
  import numpy
  import spacy
  from spacy.tokens import Doc
  from spacy.tokens import Span
  from nlp_architect.models.chunker import SequenceChunker
  from nlp_architect.utils.generic import pad_sentences
  from nlp_architect.utils.io import validate_existing_filepath
  from nlp_architect.utils.text import extract_nps, Stopwords
label_desc: Use image node_id 13 for calling a global function with example usage: _filter_fp_nums(phrase) and returns: phrase, None, phrase