class_docstr: Abstract base class for deep learning time series regression.
  
  The base classifier provides a deep learning default method for
  _predict, and provides a new abstract method for building a
  model.
  
  Parameters
  ----------
  batch_size : int, default = 40
      training batch size for the model
  
  Attributes
  ----------
  self.model_ - the fitted DL model
class_docstr_tok: ["Abstract","base","class","for","deep","learning","time","series","regression",".","The","base","classifier","provides","a","deep","learning","default","method","for","_predict",",","and","provides","a","new","abstract","method","for","building","a","model",".","Parameters","--","--","--","--","--","batch_size",":","int",",","default","=","40","training","batch","size","for","the","model","Attributes","--","--","--","--","--","self.model_","-","the","fitted","DL","model"]
docstr: Construct a compiled, un-trained, keras model that is ready for training.
  
  Parameters
  ----------
  input_shape : tuple
      The shape of the data fed into the input layer
  
  Returns
  -------
  A compiled Keras Model
docstr_tok: ["Construct","a","compiled",",","un-trained",",","keras","model","that","is","ready","for","training",".","Parameters","--","--","--","--","--","input_shape",":","tuple","The","shape","of","the","data","fed","into","the","input","layer","Returns","--","--","--","-","A","compiled","Keras","Model"]
code: def build_model(self, input_shape, **kwargs):
      """Construct a compiled, un-trained, keras model that is ready for training.
  
      Parameters
      ----------
      input_shape : tuple
          The shape of the data fed into the input layer
  
      Returns
      -------
      A compiled Keras Model
      """
      ...
  
file_path: sktime/sktime/regression/deep_learning/base.py
imports: from abc import ABC, abstractmethod
  import numpy
  from sktime.regression.base import BaseRegressor
  from sktime.utils.validation._dependencies import _check_soft_dependencies
label_desc: Use image node_id 2 for calling the BaseDeepRegressor obj's underlying member method code with example usage: obj.build_model(input_shape) without return types