code: def __init__(
      self,
      x=None,
      sample_weight=None,
      centers=None,
      labels=None,
      output_types=None,
      **kw,
  ):
      super().__init__(
          _x=x,
          _sample_weight=sample_weight,
          _centers=centers,
          _labels=labels,
          _output_types=output_types,
          **kw,
      )
      if self._output_types is None:
          self._output_types = [OutputType.tensor]
  
imports: import numpy
  from ...None import opcodes
  from ...None import tensor
  from ...core import OutputType, recursive_tile
  from ...serialization.serializables import KeyField
  from ...tensor.array_utils import as_same_device, device, sparse
  from ...tensor.core import TensorOrder
  from ...utils import has_unknown_shape
  from ..operands import LearnOperand, LearnOperandMixin
  from ._k_means_fast import _inertia_dense, _inertia_sparse, merge_update_chunks
label_desc: Use image node_id 1 to create a new KMeansInertia object from inherited base classes: LearnOperand, LearnOperandMixin with example: obj = KMeansInertia(x, sample_weight, centers, labels, output_types)