What is the best way to visualise a decision tree using Google Colab? The visualisations from 'dtreeviz' (e.g.Github) are really neat, but when running something like
!pip install dtreeviz
and
from sklearn.datasets import *
from sklearn import tree
from dtreeviz.trees import *
followed by
classifier = tree.DecisionTreeClassifier(max_depth=4)
cancer = load_breast_cancer()
classifier.fit(cancer.data, cancer.target)
viz = dtreeviz(classifier,
cancer.data,
cancer.target,
target_name='cancer',
feature_names=cancer.feature_names,
class_names=["malignant", "benign"],
fancy=False )
viz.view()
I get
ExecutableNotFound: failed to execute ['dot', '-Tsvg', '-o', '/tmp/DTreeViz_62.svg', '/tmp/DTreeViz_62'], make sure the Graphviz executables are on your systems' PATH
Which could have something to do which Colab running via my g-drive?
Any help appreciated!