class_docstr: A composed plot to compare the difference between two confusion matrices
code: def __init__(self, cm, target_names) -> None:
      self.cm = cm
      self.target_names = target_names
  
imports: import json
  from pathlib import Path
  import numpy
  import matplotlib.pyplot
  from sklearn.metrics import confusion_matrix
  from sklearn_evaluation import __version__
  from ..telemetry import SKLearnEvaluationLogger
  from ..plot.matplotlib import bar
  from ..metrics import precision_at
  from ..None import compute
  from ..util import is_column_vector, is_row_vector, default_heatmap
  from sklearn_evaluation.plot.plot import AbstractPlot, AbstractComposedPlot
  from ..plot import _matrix
  from ploomber_core.exceptions import modify_exceptions
label_desc: Use image node_id 1 to create a new ConfusionMatrixSub object from inherited base classes: AbstractComposedPlot with example: obj = ConfusionMatrixSub(cm, target_names)