我试图从他们的documentation运行UMAP示例:
import sklearn.datasets
import pandas as pd
import numpy as np
import umap
pendigits = sklearn.datasets.load_digits()
mapper = umap.UMAP().fit(pendigits.data)
import umap.plot
umap.plot.points(mapper)
ModuleNotFoundError: No module named 'umap.plot'
:ModuleNotFoundError回溯(上次最近调用) 在里面 10 mapper=umap.umap().fit(pendigits.data) 11 ---&燃气轮机;12导入umap.plot 13 umap绘图点(制图器)
ModuleNotFoundError:没有名为“umap.plot”的模块
import sys, platform, umap
print(umap.__version__)
print(platform.platform())
print(sys.version)
print(dir(umap))
将提供:
0.3.10
Windows-10-10.x.xxx-SP0
3.7.6 | packaged by conda-forge | (default, Jan 7 2020, 10:48:41) [MSC v.xx 64 bit (AMD64)]
['UMAP', '__builtins__', '__cached__', '__doc__', '__file__', '__loader__', '__name__', '__package__', '__path__', '__spec__', '__version__', 'distances', 'nndescent', 'numba', 'pkg_resources', 'rp_tree', 'sparse', 'spectral', 'umap_', 'utils']
显然,作为一种解决方法,可以这样做,但我更喜欢使用丰富的umap绘图功能:
import umap
from sklearn.datasets import load_digits
import matplotlib.pyplot as plt
%matplotlib inline
digits = load_digits()
embedding = umap.UMAP().fit_transform(digits.data)
plt.plot(embedding[:,0],embedding[:,1], 'o')
目前没有回答
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