class_docstr: Clips and converts dtype of int features to minimize memory usage.
  
  dtype_out : np.dtype, default np.uint8
      dtype to clip and convert features to.
      Clipping will automatically use the correct min and max values for the dtype provided.
  **kwargs :
      Refer to :class:`AbstractFeatureGenerator` documentation for details on valid key word arguments.
class_docstr_tok: ["Clips","and","converts","dtype","of","int","features","to","minimize","memory","usage",".","dtype_out",":","np.dtype",",","default","np.uint8","dtype","to","clip","and","convert","features","to",".","Clipping","will","automatically","use","the","correct","min","and","max","values","for","the","dtype","provided",".","*","*","kwargs",":","Refer","to",":","class",":","`","AbstractFeatureGenerator","`","documentation","for","details","on","valid","key","word","arguments","."]
code: def _more_tags(self):
      return {"feature_interactions": False}
  
imports: import logging
  import numpy
  from pandas import DataFrame, RangeIndex
  from autogluon.common.features.types import R_CATEGORY, R_INT
  from ..utils import clip_and_astype
  from .None import AbstractFeatureGenerator
label_desc: Use image node_id 7 for calling the NumericMemoryMinimizeFeatureGenerator obj's underlying member method code with example usage: obj._more_tags() and returns: dict