shap4j-data-converter

Data converter for shap4j, which converts tree ensemble models trained by XGBoost, LightGBM, CatBoost, scikit-learn and pyspark to .shap4j data files.

Getting started

Installation

 $ python setup.py install

Dump tree model through pickle

XGBoost

Here, we borrow the example in the shap documentation

import xgboost
import shap
import pickle

# train XGBoost model
X,y = shap.datasets.boston()
model = xgboost.train({"learning_rate": 0.01}, xgboost.DMatrix(X, label=y), 100)

with open("boston.pkl", "wb+") as f:
    pickle.dump(model, f)

Convert an existing .pkl file with command-line tool

We can use the shap4jconv program to convert the boston.pkl pickle file generated by the previous example to a .shap4j data file:

 $ shap4jconv boston.pkl

The command above generates the output file as boston.shap4j

Alternatively, you could specify the output file via the --output parameter:

 $ shap4jconv --output model.shap4j --overwrite boston.pkl

where the --overwrite parameter allows shap4jconv to overwrite an existing file.

Convert .pkl file programatically

You can also use shap4j-data-converter in your Python program by simply importing the Shap4jDataConverter class from the shap4jconv package, for example:

from shap4jconv import Shap4jDataConverter

converter = Shap4jDataConverter()
converter.convert("boston.pkl", output_file="dumped_boston.pkl", overwrite=True)

Use .shap4j data file in Java

See the Java example of shap4j for how to integrate SHAP into your JVM projects using the data files generated above.