class_docstr: CBLOF with forced float32 -> float64 conversion
code: def fit(self, X, y=None):
      X = convert_to_fp64(X)
      return super().fit(X, y)
  
imports: import numpy
  import pandas
  from pyod.models.cblof import CBLOF
label_desc: Use image node_id 1 for calling the CBLOFForceToDouble obj's underlying member method code with example usage: obj.fit(X, y) and returns: super