code: def __init__(self, dataset: Dataset) -> None:
      super().__init__(dataset)
  
file_path: SMAC3/benchmark/src/models/svm.py
imports: from __future__ import annotations
  import numpy
  from ConfigSpace import Categorical, Configuration, ConfigurationSpace, Float, Integer
  from ConfigSpace.conditions import InCondition
  from sklearn import svm
  from sklearn.model_selection import cross_val_score
  from src.datasets.dataset import Dataset
  from src.models.model import Model
label_desc: Use image node_id 1 to create a new SVMModel object from inherited base classes: Model with example: obj = SVMModel(dataset)