docstr: Selects keys with given prefix and returns a new dict
docstr_tok: ["Selects","keys","with","given","prefix","and","returns","a","new","dict"]
code: def _select_keys(self, d, prefix):
      """Selects keys with given prefix and returns a new dict"""
      result = {}
      for k in d:
          if k.startswith(prefix):
              result[k[len(prefix) :]] = d[k]
      return result
  
file_path: mindsdb/mindsdb/integrations/handlers/pycaret_handler/pycaret_handler.py
imports: from typing import Optional, Dict
  import os
  import pandas
  from mindsdb.integrations.libs.base import BaseMLEngine
  from pycaret.classification import ClassificationExperiment
  from pycaret.regression import RegressionExperiment
  from pycaret.time_series import TSForecastingExperiment
  from pycaret.clustering import ClusteringExperiment
  from pycaret.anomaly import AnomalyExperiment
label_desc: Use image node_id 8 for calling the PyCaretHandler obj's underlying member method code with example usage: obj._select_keys(d, prefix) and returns: result