ablaom / CatBoost.jl

Julia wrapper of the python library CatBoost for boosted decision trees

CatBoost.jl

Julia interface to CatBoost.

Example

module Regression

using CatBoost

train_data = PyList([[1, 4, 5, 6], [4, 5, 6, 7], [30, 40, 50, 60]])
eval_data = PyList([[2, 4, 6, 8], [1, 4, 50, 60]])
train_labels = PyList([10, 20, 30])

# Initialize CatBoostRegressor
model = CatBoostRegressor(iterations = 2, learning_rate = 1, depth = 2)

# Fit model
fit!(model, train_data, train_labels)

# Get predictions
preds = predict(model, eval_data)

end # module