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D3DecisionTrees

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Uses D3Trees.jl to create an interactive visualization of a decision tree model trained with DecisionTree.jl.

Installation

This is not a registered package. To install it from this GitHub page, run:

] add https://github.com/ValdarT/D3DecisionTrees.jl

Usage example

using DecisionTree, D3DecisionTrees

# Fisher's Iris dataset as features and labels
features, labels = load_data("iris")

# build a classification model
model = build_tree(labels, features)

# create the D3Tree of the model
t = D3DecisionTree(model)

# show in Chrome browser
inchrome(t)

Note: D3Trees.jl currently requires internet connection to work.

First Commit

12/03/2017

Last Touched

over 1 year ago

Commits

8 commits

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