ydf 0.11.0

YDF (short for Yggdrasil Decision Forests) is a library for training, serving, evaluating and analyzing decision forest models such as Random Forest and Gradient Boosted Trees.

Port of Yggdrasil / TensorFlow Decision Forests for Python

The Python port of Yggdrasil Decision is a light-weight wrapper around Yggdrasil Decision Forests. It allows direct, fast access to YDF's methods and it also offers advanced import / export, evaluation and inspection methods. While the package is called YDF, the wrapping code is sometimes lovingly called PYDF.

YDF is the successor of Tensorflow Decision Forests (TF-DF). TF-DF is still maintained, but new projects should choose YDF for improved performance, better model quality and more features.

Installation

To install YDF, in Python, simply grab the package from pip:

pip install ydf

For build instructions, see INSTALLATION.md.

Usage Example

import ydf
import pandas as pd

ds_path = "https://raw.githubusercontent.com/google/yggdrasil-decision-forests/main/yggdrasil_decision_forests/test_data/dataset"
train_ds = pd.read_csv(f"{ds_path}/adult_train.csv")
test_ds = pd.read_csv(f"{ds_path}/adult_test.csv")

model = ydf.GradientBoostedTreesLearner(label="income").train(train_ds)

print(model.evaluate(test_ds))

model.save("my_model")

loaded_model = ydf.load_model("my_model")

Frequently Asked Questions

See the FAQ in the documentation.