在Jupyter笔记本中定义KneighborsClassifier的问题

问题描述 投票:1回答:1

我正在尝试将Iris数据集上的KNN用作机器学习的“ Hello World”。我正在使用Anaconda的Jupyter Notebook,并且清楚地记录了每个步骤。尝试使用knn.fit(X,Y)时,当前会引发“ NameError:未定义名称'knn'”异常。我试图通过调用print(knn)测试knn的定义,并且得到以下输出:

KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
           metric_params=None, n_jobs=1, n_neighbors=1, p=2,
           weights='uniform')

下面的代码:

#import the load_iris dataset
from sklearn.datasets import load_iris
#save "bunch" object containing iris dataset and its attributes
iris = load_iris()
X = iris.data
Y = iris.target

#import class you plan to use
from sklearn.neighbors import KNeighborsClassifier
knn = KNeighborsClassifier(n_neighbors = 1)

#Fit the model with data (aka "model training")
knn.fit(X,Y)
python machine-learning jupyter-notebook knn
1个回答
0
投票

有相同的问题。运行以下内容对我有用:

model = sklearn.neighbors.KNeighborsClassifier(n_neighbors=5) 

跑进:

Python 3.6.9

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