class_docstr: Class representing the base learner of SRPClassifier.
class_docstr_tok: ["Class","representing","the","base","learner","of","SRPClassifier","."]
code: def predict_one(self, x, **kwargs):
      # Select the features to use
      x_subset = (
          {k: x[k] for k in self.features if k in x}
          if self.features is not None
          else x
      )
  
      return self.model.predict_one(x_subset, **kwargs)
  
imports: from __future__ import annotations
  import collections
  import itertools
  import math
  import random
  import numpy
  from river import base
  from river.drift import ADWIN
  from river.metrics import MAE, Accuracy
  from river.metrics.base import ClassificationMetric, Metric, RegressionMetric
  from river.tree import HoeffdingTreeClassifier, HoeffdingTreeRegressor
  from river.utils.random import poisson
label_desc: Use image node_id 3 for calling the BaseSRPRegressor obj's underlying member method code with example usage: obj.predict_one(x) and returns: self