class_docstr: Interactive visualisation of embeddings.
  
  Displays a scatterplot that can be embedded inside a Jupyter notebook.
code: def __init__(self):
      super(EmbeddingsExplorer, self).__init__()
      if not check_dependencies():
          message = (
              "Failed to import dependencies. You must "
              "`pip install holoviews datashader bokeh` "
              "for `EmbeddingsExplorer` to work."
          )
          raise ImportError(message)
      self.embeddings = None
      self.classes = None
  
file_path: ivis/ivis/utils/vis_utils.py
imports: import pandas
  import numpy
label_desc: Use image node_id 1 to create a new EmbeddingsExplorer object from inherited base classes: param with example: obj = EmbeddingsExplorer()