Python 将错误获取为"；TypeError：输入数据不能是列表；在XGBoost型号的Streamlight上部署时

我正在尝试使用XGBoost模型得到Streamlight的预测

def load_dataset():
    df = pd.read_csv('txn.csv')
    return df

df = load_dataset()

#create X and y, X will be feature set and y is the label - LTV
X = df.drop(['LTVCluster','m1_Revenue'],axis=1)
y = df['LTVCluster']

def  train_model(X_train,y_train):
#XGBoost Multiclassification Model
    xgb_classifier = XGBClassifier(max_depth=5, learning_rate=0.1,objective= 'multi:softprob',n_jobs=-1)
    xgb_classifier.fit(X_train, y_train)
    return xgb_classifier

def test_model(model,X_test,y_test):
    y_pred = model.predict(X_test)
    return y_pred

def predictions(CustomerID, Recency, RecencyCluster, Frequency, FrequencyCluster, Revenue, RevenueCluster, OverallScore):
    predictions = model.predict([[CustomerID, Recency, RecencyCluster, Frequency, FrequencyCluster, Revenue, RevenueCluster, OverallScore]])

当我运行此代码时，得到的错误如下：

TypeError:输入数据不能是列表。

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请帮助我哪里出了问题。

这与Streamlight无关。