ДБ
Size: a a a
ДБ
ДБ
Аa
AG
E
A
E
IL
D
cat_features = ['action', 'operation', 'platform', 'status']
cv_dataset = Pool(data=train_pool,
label=train_label.tolist(),
cat_features=cat_features)
params = {"iterations": 100,
"depth": 2,
"loss_function": "Logloss",
"verbose": False}
scores = cv(train_data,
params,
fold_count=5,
plot="True")
CatBoostError: Invalid data type={}: data must be list(), np.ndarray(), DataFrame(), Series(), FeaturesData scipy.sparse matrix or filename str().
train_label.tolist()
и cat_features
A
E
AY
AA
AA
Bo
Bo
ДБ
AD
ДБ