code: def predict(self, X):
      self.reload()
      if self.params["ml_task"] == BINARY_CLASSIFICATION:
          return self.model.predict_proba(X)[:, 1]
      elif self.params["ml_task"] == MULTICLASS_CLASSIFICATION:
          return self.model.predict_proba(X)
      return self.model.predict(X)
  
imports: import copy
  import logging
  import time
  import warnings
  import joblib
  import numpy
  import pandas
  from supervised.algorithms.algorithm import BaseAlgorithm
  from supervised.algorithms.registry import BINARY_CLASSIFICATION, MULTICLASS_CLASSIFICATION, REGRESSION
  from supervised.utils.config import LOG_LEVEL
  from supervised.utils.metric import Metric
label_desc: Use image node_id 7 for calling the SklearnAlgorithm obj's underlying member method code with example usage: obj.predict(X) and returns: self, self, self