class_docstr: Wrap estimator which will not expose `sample_weight`.
  
  Parameters
  ----------
  est : estimator, default=None
      The estimator to wrap.
code: def predict_proba(self, X):
      return self.est.predict_proba(X)
  
imports: import numpy
  from ..base import BaseEstimator, ClassifierMixin
  from ..utils._metadata_requests import RequestMethod
  from .metaestimators import available_if
  from .validation import _check_sample_weight, _num_samples, check_array, check_is_fitted
label_desc: Use image node_id 4 for calling the NoSampleWeightWrapper obj's underlying member method code with example usage: obj.predict_proba(X) and returns: self