machine-learningdata-visualizationdecision-treexgboostdtreeviz
Subtrees visualization in dtreeviz
I am new to dtreeviz. I am struggling with a very deep decision tree that is very difficult to visualize (overfitting is not an issue for my task). I would like to know if there is a way to visualize only some nodes of the three (e.g., first 5 nodes).
Thanks!
from dtreeviz.models.xgb_decision_tree import ShadowXGBDTree
from dtreeviz import trees
xgb_shadow = ShadowXGBDTree(xgb_model_reg, 0, d.loc[:, d.columns != output_quantitativi[0]],
d[output_quantitativi[0]], d.loc[:, d.columns != output_quantitativi[0]].columns,output_quantitativi[0])
trees.dtreeviz(xgb_shadow)
Solution
for dtreeviz method it was just added the parameter depth_range_to_display, which allows you to specify a range of tree levels that you want to display.
For viz_leaf_samples() you can play with min_samples and max_samples values if the tree contains a lot of leaf nodes.
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