我正在使用GaussianMixture进行轮廓分析.我试图修改用scikit网站编写的类似代码,但得到了奇怪的错误: -
- > 82个center = clusterer.cluster_centers_ 83#在聚类中心绘制白色圆圈84 ax2.scatter(中心[:,0],中心[:,1],marker ='o',
AttributeError:'GaussianMixture'对象没有属性'cluster_centers_'
from sklearn.metrics import silhouette_samples, silhouette_score
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import numpy as np
print(__doc__)
X=reduced_data.values
range_n_clusters = [2, 3, 4, 5, 6]
for n_clusters in range_n_clusters:
# Create a subplot with 1 row and 2 columns
fig, (ax1, ax2) = plt.subplots(1, 2)
fig.set_size_inches(18, 7)
# The 1st subplot is the silhouette plot
# The silhouette coefficient can range from -1, 1 but in this example …Run Code Online (Sandbox Code Playgroud) python cluster-analysis machine-learning scikit-learn data-science
我在 stackoverflow 中遵循了其他 sbt 程序集合并问题并添加了合并策略,但仍然没有得到解决。我添加了依赖树插件,但它没有显示传递库的依赖关系。我已经使用了 sbt 的最新合并策略,但是这个重复的内容问题仍然存在。
build.sbt:-
import sbtassembly.Log4j2MergeStrategy
name := ""
organization := "" // change to your org
version := "0.1"
scalaVersion := "2.11.8"
val sparkVersion = "2.1.1"
resolvers += "jitpack" at "https://jitpack.io"
resolvers += "bintray-spark-packages" at "https://dl.bintray.com/spark-packages/maven/"
resolvers += Resolver.url("artifactory", url("http://scalasbt.artifactoryonline.com/scalasbt/sbt-plugin-releases"))(Resolver.ivyStylePatterns)
resolvers += Resolver.url("bintray-sbt-plugins", url("http://dl.bintray.com/sbt/sbt-plugin-releases"))(Resolver.ivyStylePatterns)
resolvers +=Resolver.typesafeRepo("releases")
//addSbtPlugin("org.spark-packages" % "sbt-spark-package" % "0.2.6")
libraryDependencies ++= Seq(
("org.apache.spark" %% "spark-core" % "2.1.1" %"provided").
exclude("commons-beanutils", "commons-beanutils-core").
exclude("commons-collections", "commons-collections").
exclude("commons-logging", "commons-logging").
exclude("com.esotericsoftware.minlog", "minlog"),
("org.apache.spark" %% "spark-hive" % "2.1.1" %"provided").
exclude("commons-beanutils", …Run Code Online (Sandbox Code Playgroud) apache-spark ×1
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