程序不起作用“ TypeError：fit（）缺少1个必需的位置参数：'y'”

Question

from sklearn import tree
from sklearn.datasets import load_iris
iris=load_iris()
dir(iris)
#output data to traixn setosa,versicolor and virginica
x=iris.data
#fetching data
x=np.delete(x, np.s_[::50], 0)
#print(x)
y=iris.target
#featching output
y=np.delete(y, np.s_[::50], 0)
algo=tree.DecisionTreeClassifier

when i try to use fit it does not support

train=algo.fit(x,y)
res=train.pridict([test_setosa])
print(res)

Answer 1

You need to change something in your code. The DecisionTreeClassifier is a class and the way your call it in your code is wrong.

Replace

algo=tree.DecisionTreeClassifier

with

algo=tree.DecisionTreeClassifier()

---

Full code

from sklearn import tree
from sklearn.datasets import load_iris
import numpy as np

iris=load_iris()
dir(iris)
#output data to traixn setosa,versicolor and virginica
x=iris.data
#fetching data
x=np.delete(x, np.s_[::50], 0)
#print(x)
y=iris.target
#featching output
y=np.delete(y, np.s_[::50], 0)

algo=tree.DecisionTreeClassifier()

train=algo.fit(x,y)
res=train.predict([test_setosa])