docstr: Compute HTML color for a Tree node
  Args:
      value: Tree node value
  Returns: str, html color code in #RRGGBB format
docstr_tok: ["Compute","HTML","color","for","a","Tree","node","Args",":","value",":","Tree","node","value","Returns",":","str",",","html","color","code","in","#","RRGGBB","format"]
code: def get_color(self, value: np.ndarray) -> str:
      """
      Compute HTML color for a Tree node
      Args:
          value: Tree node value
      Returns: str, html color code in #RRGGBB format
      """
      # Regression tree or multi-output
      color = list(self.colors["rgb"][0])
      alpha = float(value - self.colors["bounds"][0]) / (
          self.colors["bounds"][1] - self.colors["bounds"][0]
      )
      alpha = 0 if np.isnan(alpha) else alpha
      # Compute the color as alpha against white
      color = [
          int(round(alpha * c + (1 - alpha) * 255, 0)) for c in color
      ]
      return "#%2x%2x%2x" % tuple(color)
  
imports: from collections import defaultdict
  import matplotlib.pyplot
  import numpy
  import pydotplus
  import seaborn
  from sklearn.tree import _tree
  from sklearn.tree._export import _MPLTreeExporter, _color_brew
  from sklearn.utils.validation import check_is_fitted
  from .None import CausalTreeRegressor
  from .utils import get_tree_leaves_mask
label_desc: Use image node_id 3 for calling the _MPLCTreeExporter obj's underlying member method code with example usage: obj.get_color(value) and returns: unknown