代码:
导入算法
from sklearn.ensemble import RandomForestRegressor
建模
rf = RandomForestRegressor(n_estimators= 1000, random_state=42)
训练
rf.fit(train_features, train_labels)
最后一行代码:rf.fit(train_features, train_labels)报错:
TypeError: float() argument must be a string or a number, not 'Timestamp'
请问这个问题怎么解决呢