code: def __init__(
      self,
      hypermodel: keras_tuner.HyperModel,
      objective: str = "val_loss",
      max_trials: int = 10,
      initial_hps: Optional[List[Dict[str, Any]]] = None,
      seed: Optional[int] = None,
      hyperparameters: Optional[keras_tuner.HyperParameters] = None,
      tune_new_entries: bool = True,
      allow_new_entries: bool = True,
      **kwargs,
  ):
      self.seed = seed
      oracle = GreedyOracle(
          objective=objective,
          max_trials=max_trials,
          initial_hps=initial_hps,
          seed=seed,
          hyperparameters=hyperparameters,
          tune_new_entries=tune_new_entries,
          allow_new_entries=allow_new_entries,
      )
      super().__init__(oracle=oracle, hypermodel=hypermodel, **kwargs)
  
imports: import copy
  from typing import Any
  from typing import Dict
  from typing import List
  from typing import Optional
  import keras_tuner
  import numpy
  from autokeras.engine import tuner
label_desc: Use image node_id 1 to create a new Greedy object from inherited base classes: tuner_module with example: obj = Greedy(hypermodel, objective, max_trials, initial_hps, seed, hyperparameters, tune_new_entries, allow_new_entries)