我在ubuntu上安装cloudstack,它使用maven来解决它的依赖关系.运行命令时出现以下错误mvn -P deps
[ERROR] The build could not read 1 project -> [Help 1]
[ERROR]
[ERROR] The project org.apache.cloudstack:cloudstack:4.2.0 (/home/cloud/apache-cloudstack-4.2.0-src/pom.xml) has 1 error
[ERROR] Non-resolvable parent POM: Could not transfer artifact org.apache:apache:pom:11 from/to central (http://repo.maven.apache.org/maven2): repo.maven.apache.org: Name or service not known and 'parent.relativePath' points at wrong local POM @ line 14, column 11: Unknown host repo.maven.apache.org: Name or service not known -> [Help 2]
[ERROR]
我已经搜索了错误并在pom.xml中尝试了一些更改,但我没有得到解决方案.我不知道导致错误的是什么.
任何建议或最轻微的帮助都将得到承认.谢谢.
我正在 Windows 8 上安装 Spark 1.2.1，并且我已经下载了 Hadoop 2.4 的预构建包
当我运行pyspark时，出现以下错误：
C:\Users\Dinesh\Desktop\spark-1.2.1-bin-hadoop2.4>bin\pyspark
Running python with PYTHONPATH=C:\Users\Dinesh\Desktop\spark-1.2.1-bin-hadoop2.4\bin\..\python\lib\py4j-0.8.2.1-src.zip;C:\Users\Dinesh\Desktop\spark-1.2.1-bin-hadoop2.4\bin\..\python;
Python 2.7.6 (default, Nov 10 2013, 19:24:18) [MSC v.1500 32 bit (Intel)] on win32
Type "help", "copyright", "credits" or "license" for more information.
The system cannot find the path specified.
Traceback (most recent call last):
File "C:\Users\Dinesh\Desktop\spark-1.2.1-bin-Hadoop2.4\bin\..\python\pyspark\shell.py", line 45, in <module>
sc = SparkContext(appName="PySparkShell", pyFiles=add_files)
File "C:\Users\Dinesh\Desktop\spark-1.2.1-bin-hadoop2.4\python\pyspark\context.py", line 102, in __init__
SparkContext._ensure_initialized(self, gateway=gateway)
File "C:\Users\Dinesh\Desktop\spark-1.2.1-bin-hadoop2.4\python\pyspark\context.py", line 212, in _ensure_initialized
SparkContext._gateway = gateway or …这是我的代码
for i,val in enumerate(DS3Y_pred_trans):
if val < 1.5:
DS3Y_pred_trans[i] = 1
else:
DS3Y_pred_trans[i] = 2
有值小于1.5列表中的值,但out是全部2s.
我错过了什么？
这是整个代码.
from numpy import genfromtxt
DS3X_train = np.genfromtxt('train.csv', dtype=float, delimiter=',')
print DS3X_train
DS3Y_train = np.genfromtxt('train_labels.csv', dtype=int, delimiter=',' )
print DS3Y_train
DS3X_test = np.genfromtxt('test.csv', dtype=float, delimiter=',')
print DS3X_test
DS3Y_test = np.genfromtxt('test_labels.csv', dtype=int, delimiter=',' )
print DS3Y_test
DS3X_train_trans = zip(*DS3X_train)
cov_train = np.cov(DS3X_train_trans)
U, s, V = np.linalg.svd(cov_train, full_matrices=True)
u = U[:,:-1]
u_trans = zip(*u)
DS3X_train_reduced = np.dot(u_trans,DS3X_train_trans)
b = …