class_docstr: Estimator class based on scikit-learn estimators.
  
  See https://scikit-learn.org/stable/developers/develop.html
class_docstr_tok: ["Estimator","class","based","on","scikit-learn","estimators",".","See","https",":","\/\/scikit-learn.org\/stable\/developers\/develop.html"]
code: def _fit(
      self, net, seed, x_train, y_train, **kwargs
  ) -> tuple[PyTree, dict[str, jax.Array]]:
      raise NotImplementedError()
  
imports: from typing import Any, Mapping, Optional, Sequence
  import jax
  import jax.numpy
  from jaxtyping import ArrayLike, PyTree
  from tensorflow_probability.python.experimental.autobnn import bnn
  from tensorflow_probability.python.experimental.autobnn import likelihoods
  from tensorflow_probability.python.experimental.autobnn import models
  from tensorflow_probability.python.experimental.autobnn import training_util
label_desc: Use image node_id 3 for calling the _AutoBnnEstimator obj's underlying member method code with example usage: obj._fit(net, seed, x_train, y_train) without return types