类型错误: flip()缺少1个必需的位置参数：'axis‘

Question

我正在尝试使用库yellowbrick中的KElbowVisualizer绘制KMeans平方和。代码之前运行良好，但奇怪的是，类型错误开始弹出，显示"flip()缺少1个必需的位置参数：‘轴’。“我有一些想法，它可能与numpy版本有关，但无法弄清楚。我想运行的代码如下所示及其错误。

from sklearn.cluster import KMeans
from sklearn.datasets import make_blobs

from yellowbrick.cluster import KElbowVisualizer

# Generate synthetic dataset with 8 random clusters
X, y = make_blobs(n_samples=1000, n_features=12, centers=8, random_state=42)

# Instantiate the clustering model and visualizer
model = KMeans()
visualizer = KElbowVisualizer(model, k=(4,12))

visualizer.fit(X)        # Fit the data to the visualizer
visualizer.show()  

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-7-6e34e2651568> in <module>
     11 visualizer = KElbowVisualizer(model, k=(4,12))
     12 
---> 13 visualizer.fit(X)        # Fit the data to the visualizer
     14 visualizer.show()

/anaconda3/lib/python3.7/site-packages/yellowbrick/cluster/elbow.py in fit(self, X, y, **kwargs)
    332             }.get(self.metric, {})
    333             elbow_locator = KneeLocator(
--> 334                 self.k_values_, self.k_scores_, **locator_kwargs
    335             )
    336             if elbow_locator.knee is None:

/anaconda3/lib/python3.7/site-packages/yellowbrick/utils/kneed.py in __init__(self, x, y, S, curve_nature, curve_direction)
    108             self.y_normalized,
    109             self.curve_direction,
--> 110             self.curve_nature,
    111         )
    112         # normalized difference curve

/anaconda3/lib/python3.7/site-packages/yellowbrick/utils/kneed.py in transform_xy(x, y, direction, curve)
    164         # flip decreasing functions to increasing
    165         if direction == "decreasing":
--> 166             y = np.flip(y)
    167 
    168         if curve == "convex":

TypeError: flip() missing 1 required positional argument: 'axis'

Answer 1

你有没有尝试过下面的方法？

np.flip(y, axis=None)