class_docstr: Base class for tuners
  
  Parameters
  ----------
  task: autotvm.task.Task
      Tuning Task
class_docstr_tok: ["Base","class","for","tuners","Parameters","--","--","--","--","--","task",":","autotvm.task.Task","Tuning","Task"]
docstr: load history data for transfer learning
  
  Parameters
  ----------
  data_set: Array of (autotvm.measure.MeasureInput, autotvm.measure.MeasureResult) pair
      Previous tuning records
  min_seed_records: int
      Defaults to 500. Indicates the minimum number of records to
      train the tuner with. If there are less than `min_seed_records`
      number of records in `data_set`, no training of the tuner
      will be done.
docstr_tok: ["load","history","data","for","transfer","learning","Parameters","--","--","--","--","--","data_set",":","Array","of","(","autotvm.measure.MeasureInput",",","autotvm.measure.MeasureResult",")","pair","Previous","tuning","records","min_seed_records",":","int","Defaults","to","500",".","Indicates","the","minimum","number","of","records","to","train","the","tuner","with",".","If","there","are","less","than","`","min_seed_records","`","number","of","records","in","`","data_set","`",",","no","training","of","the","tuner","will","be","done","."]
code: def load_history(self, data_set, min_seed_records=500):
      """load history data for transfer learning
  
      Parameters
      ----------
      data_set: Array of (autotvm.measure.MeasureInput, autotvm.measure.MeasureResult) pair
          Previous tuning records
      min_seed_records: int
          Defaults to 500. Indicates the minimum number of records to
          train the tuner with. If there are less than `min_seed_records`
          number of records in `data_set`, no training of the tuner
          will be done.
      """
      raise NotImplementedError()
  
file_path: tvm/python/tvm/autotvm/tuner/tuner.py
imports: import logging
  import tempfile
  import numpy
  from ..measure import MeasureInput, create_measure_batch
  from ..utils import format_si_prefix
  from ..env import GLOBAL_SCOPE
label_desc: Use image node_id 7 for calling the Tuner obj's underlying member method code with example usage: obj.load_history(data_set, min_seed_records) without return types