How to print CatBoost hyperparameters after training a model?
In sklearn we can just print model object that it will show all parameters but in catboost it only print object's reference: <catboost.core.CatBoostRegressor object at 0x7fd441e5f6d8>.
from catboost import CatBoostRegressor
# Initialize data
train_data = [[1, 4, 5, 6],
[4, 5, 6, 7],
[30, 40, 50, 60]]
eval_data = [[2, 4, 6, 8],
[1, 4, 50, 60]]
train_labels = [10, 20, 30]
# Initialize CatBoostRegressor
model = CatBoostRegressor(iterations=2,
learning_rate=1,
depth=2)
# Fit model
model.fit(train_data, train_labels)
# Get predictions
preds = model.predict(eval_data)
print (model)
