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<p>我是Python和Sklearn的初学者。不知道我是否遗漏了什么。我收到以下警告消息:</p>
<blockquote>
<p>DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17
and willraise ValueError in 0.19.</p>
</blockquote>
<p>代码如下:</p>
<pre><code>import numpy as np
import matplotlib.pyplot as plt
from sklearn.linear_model import SGDClassifier
from sklearn.<a href="https://www.cnpython.com/pypi/dataset" class="inner-link">dataset</a>s.samples_generator import make_blobs
def plot_sgd_separator():
# we create 50 separable points
X, Y = make_blobs(n_samples=50, centers=2,random_state=0, cluster_std=0.60)
X = np.array(X).reshape((1, -1))
# fit the model
clf = SGDClassifier(loss="hinge", alpha=0.01,
n_iter=200, fit_intercept=True)
clf.fit(X, Y)
# plot the line, the points, and the nearest vectors to the plane
xx = np.linspace(-1, 5, 10)
yy = np.linspace(-1, 5, 10)
X1, X2 = np.meshgrid(xx, yy)
Z = np.empty(X1.shape)
for (i, j), val in np.ndenumerate(X1):
x1 = val
x2 = X2[i, j]
p = clf.decision_function([x1, x2])
Z[i, j] = p[0]
levels = [-1.0, 0.0, 1.0]
linestyles = ['dashed', 'solid', 'dashed']
colors = 'k'
ax = plt.axes()
ax.contour(X1, X2, Z, levels, colors=colors, linestyles=linestyles)
ax.scatter(X[:, 0], X[:, 1], c=Y, cmap=plt.cm.Paired)
ax.axis('tight')
if __name__ == '__main__':
plot_sgd_separator()
plt.show()
</code></pre>
<p>再次感谢您的关注。顺便说一下,我使用的是Python3.5.1。</p>