code: def _type_detection_float(series, max_cat_cardinality="auto"):
      if _float_col_is_int(series):
          return _type_detection_int(
              series, max_cat_cardinality=max_cat_cardinality
          )
      return "continuous"
  
imports: from importlib.metadata import version
  from joblib import hash
  import warnings
  from warnings import warn
  import numpy
  import pandas
  from sklearn.base import BaseEstimator, TransformerMixin
  from sklearn.compose import make_column_transformer, ColumnTransformer
  from sklearn.impute import SimpleImputer
  from sklearn.pipeline import make_pipeline
  from sklearn.preprocessing import OneHotEncoder, StandardScaler
  from sklearn.utils.validation import check_is_fitted
label_desc: Use image node_id 9 for calling a global function with example usage: _type_detection_float(series, max_cat_cardinality) and returns: str, _type_detection_int