LGBM python, python CLI. , - this. CLI. GBMClassifier/Regressor, exec_path. .
, ,
:
`
import numpy as np
from sklearn import datasets, metrics, model_selection
from pylightgbm.models import GBMClassifier
exec = "~/Documents/apps/LightGBM/lightgbm"
X, Y = datasets.make_classification(n_samples=200, n_features=10)
x_train, x_test, y_train, y_test = model_selection.train_test_split(X, Y, test_size=0.2)
clf = GBMClassifier(exec_path=exec, min_data_in_leaf=1)
clf.fit(x_train, y_train, test_data=[(x_test, y_test)])
y_pred = clf.predict(x_test)
print("Accuracy: ", metrics.accuracy_score(y_test, y_pred))
`