class_docstr: Applies `feature_cast` as a FunctionTransformer
  
  Args:
      cast_type (type): type to cast data
class_docstr_tok: ["Applies","`","feature_cast","`","as","a","FunctionTransformer","Args",":","cast_type","(","type",")",":","type","to","cast","data"]
code: def __init__(self, cast_type=None):
      self.transformer_ = FunctionTransformer(
          feature_cast, kw_args={"cast_type": cast_type}, validate=False
      )
  
imports: import warnings
  import pandas
  import numpy
  from scipy import sparse
  from sklearn.base import BaseEstimator, TransformerMixin
  from sklearn.preprocessing import MultiLabelBinarizer, FunctionTransformer, LabelEncoder, normalize
  from sklearn.feature_extraction.text import HashingVectorizer
  from sklearn import feature_selection
label_desc: Use image node_id 1 to create a new FeatureCast object from inherited base classes: _CustomFunctionTransformer with example: obj = FeatureCast(cast_type)