小编Mon*_*lal的帖子

即使我下载了模型,也无法加载它

[jalal@goku entity-sentiment-analysis]$ which python
/scratch/sjn/anaconda/bin/python
[jalal@goku entity-sentiment-analysis]$ sudo python -m spacy download en
[sudo] password for jalal: 
Collecting https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.0.0/en_core_web_sm-2.0.0.tar.gz
  Downloading https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.0.0/en_core_web_sm-2.0.0.tar.gz (37.4MB)
    100% |????????????????????????????????| 37.4MB 9.4MB/s 
Installing collected packages: en-core-web-sm
  Running setup.py install for en-core-web-sm ... done
Successfully installed en-core-web-sm-2.0.0

    Linking successful
    /usr/lib/python2.7/site-packages/en_core_web_sm -->
    /usr/lib64/python2.7/site-packages/spacy/data/en

    You can now load the model via spacy.load('en')

import spacy 

nlp = spacy.load('en')
---------------------------------------------------------------------------
OSError                                   Traceback (most recent call last)
<ipython-input-2-0fcabaab8c3d> in <module>()
      1 import spacy
      2 
----> 3 nlp = spacy.load('en')

/scratch/sjn/anaconda/lib/python3.6/site-packages/spacy/__init__.py in …

我已经使用sudo apt-get install redis-server命令安装了redis 但是在运行Python程序时收到此错误: ImportError: No module named redis

知道出了什么问题或者我是否应该安装任何其他软件包？我使用的是Ubuntu 13.04,我有Python 2.7.

我正在阅读本手册,我不确定应该在哪里复制文件google-services.json？有很多文件夹包含一个app文件夹,我正在尝试开发它android wear.任何指南都会非常棒.到目前为止我已经把它放在这里:

链接到教程

我正在关注这个教程http://www.bitfusion.io/2016/08/31/training-a-bird-classifier-with-tensorflow-and-tflearn/ 我认为培训已经完成,但系统已重新启动,所以我无法验证100个时代是否完成.你能建议修复吗？

mona@pascal:~/computer_vision/python_playground$ python infer.py test_images/
bird_african_fish_eagle.jpg          bird_mount_bluebird.jpg              not_a_bird_creativecommons_logo.jpg  
bird_bullocks_oriole.jpg             not_a_bird_airplane.jpg              not_a_bird_stop_sign.jpg             
mona@pascal:~/computer_vision/python_playground$ python infer.py test_images/not_a_bird_stop_sign.jpg 
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcudnn.so locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcufft.so locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcurand.so locally
I tensorflow/core/common_runtime/gpu/gpu_device.cc:885] Found device 0 with properties: 
name: Tesla K40c
major: 3 minor: 5 memoryClockRate (GHz) 0.745
pciBusID 0000:03:00.0
Total memory: 11.92GiB
Free …

所以我正在安装最新版本的OpenCV 3.2.0并且它只是停留在99%(即使我将nproc传递给-j使得它花了很长时间并且我的nproc输出为24)并且我想知道是否有解决方案因为我不想阻止它.我没有收到任何错误:

CUDA 8
Python 3.4.3
OpenCV3.2.0
Ubuntu 14.04

和

[ 98%] Built target opencv_stitching
Scanning dependencies of target opencv_test_stitching
Scanning dependencies of target opencv_perf_stitching

BUILD SUCCESSFUL
Total time: 3 seconds
[ 99%] [ 99%] [ 99%] [ 99%] Building CXX object modules/stitching/CMakeFiles/opencv_test_stitching.dir/test/test_matchers.cpp.o
Building CXX object modules/stitching/CMakeFiles/opencv_test_stitching.dir/test/test_main.cpp.o
Building CXX object modules/stitching/CMakeFiles/opencv_test_stitching.dir/test/ocl/test_warpers.cpp.o
Building CXX object modules/stitching/CMakeFiles/opencv_test_stitching.dir/test/test_blenders.cpp.o
[ 99%] [ 99%] [ 99%] [ 99%] Building CXX object modules/stitching/CMakeFiles/opencv_perf_stitching.dir/perf/perf_estimators.cpp.o
[ 99%] Building CXX object modules/stitching/CMakeFiles/opencv_perf_stitching.dir/perf/perf_stich.cpp.o
[ 99%] Building CXX object modules/stitching/CMakeFiles/opencv_perf_stitching.dir/perf/perf_main.cpp.o
Building …

自从过去1年以来,我一直致力于文档级别的情绪分析.文档级别情绪分析提供完整文档的情绪.例如 - " 诺基亚很好,但沃达丰吸引大量时间 " 这一文本会产生与之相关的负极性,因为它对诺基亚和沃达丰实体来说是不可知的.怎么可能获得实体层面的情绪,比如对诺基亚有利,对沃达丰有利？有没有研究论文为这些问题提供解决方案？

我不知道为什么下面的代码没有给我完整的圆圈,只给出了部分内容.另外,我不知道如何在一个正方形内的圆圈或外面显示我的点,这两个点都以(0,0)为中心,r = 1,a = 2.

library("plotrix")
n<-1000
plot.new()
frame()
x<-runif(n,-1,1)
y<-runif(n,-1,1)
for (i in 1:n) { plot(x[i],y[i])}
draw.circle(0,0,1,nv=1000,border=NULL,col=NA,lty=1,lwd=1)

这是输出

所以我把它固定到下面,当我得到100分时,图表看起来如下.为什么没有显示完整的圆圈？

plot(x,y)
draw.circle(0,0,1,nv=1000,border=NULL,col=NA,lty=1,lwd=1)

所以多亏了费尔南多,我修复了这个情节,现在它看起来像这样,但我希望它的范围从(-1到1)为x,就像是y一样.xlim没用.你知道什么是错的吗？

magnitude = function(x, y) {
  stopifnot(isTRUE(all.equal(length(x),length(y))))
  return (sqrt(x^2 + y^2))
}
library("plotrix")
monte.carlo.pi<-function(n,draw=FALSE)
{
  circle.points<-0
  square.points<-0
  x<-runif(n,-1,1)
  y<-runif(n,-1,1)
  for (i in 1:n)
  {
    #if ((x[i])^2 + (y[i])^2 <=1)
    if (magnitude(x[i],y[i])<=1)
    {
      circle.points<-circle.points+1
      square.points<-square.points+1
    } else
    {
      square.points<-square.points+1
    }
  }
  if (draw==TRUE)
  {
    plot.new()
    frame()
    plot(x,y,asp=1,xlim=c(-1,1),ylim=c(-1,1))
    draw.circle(0,0,1,nv=1000,border=NULL,col=NA,lty=1,lwd=1)
    rect(-1,-1,1,1)
    return(4*circle.points / square.points)
  }
}

并调用以下函数:

monte.carlo.pi(100,T)

目前的情节如下:

我正在尝试运行此程序

conn = pymssql.connect(host='localhost',  user='notsa', password='notsayly', database='TallicaTweets')

但我收到以下错误:

Traceback (most recent call last):
  File "harvester_of_tweets.py", line 11, in <module>
    conn = pymssql.connect(host='localhost',  user='username', password='password!', database='Database')
  File "/usr/local/lib/python2.7/dist-packages/pymssql.py", line 607, in connect
    raise OperationalError, e[0]
pymssql.OperationalError: DB-Lib error message 20009, severity 9:
Unable to connect: Adaptive Server is unavailable or does not exist
Net-Lib error during Connection refused Error 111 - Connection refused

搜索Google并没有真正有用,而且那里的一些内容并不是很彻底.我应该将我的凭证添加到特定的配置文件中吗？以及如何在mssql中创建凭据？(我在psql中做过这些事情但不熟悉mssql.

我正在使用Ubuntu 13.04 ad我的python版本是2.7.

创建用户登录后,我收到此错误:

Traceback (most recent call last):
  File "harvester_of_tweets.py", line 11, in <module>
    conn …

我想知道如何在函数名称上轻松单击(或者可以使用一些简单的快捷方式)并查找其所有被调用者或打开已定义的位置.网络上的大多数网络手册都很难遵循或者不会发生.说我想点击allocuvm并查看它的定义位置？

uint newstk=allocuvm(pgdir, USERTOP-PGSIZE, USERTOP); 

我不知道如何解决这个错误:

Vertex failed, vertexName=initialmap, vertexId=vertex_1449805139484_0001_1_00, diagnostics=[Task failed, taskId=task_1449805139484_0001_1_00_000003, diagnostics=[AttemptID:attempt_1449805139484_0001_1_00_000003_0 Info:Error: org.apache.hadoop.ipc.RemoteException(java.io.IOException): File /user/hadoop/gridmix-kon/input/_temporary/1/_temporary/attempt_14498051394840_0001_m_000003_0/part-m-00003/segment-121 could only be replicated to 0 nodes instead of minReplication (=1). There are 4 datanode(s) running and no node(s) are excluded in this operation.
at org.apache.hadoop.hdfs.server.blockmanagement.BlockManager.chooseTarget(BlockManager.java:1441)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getAdditionalBlock(FSNamesystem.java:2702)
at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.addBlock(NameNodeRpcServer.java:584)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.addBlock(ClientNamenodeProtocolServerSideTranslatorPB.java:440)
at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:585)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:928)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2014)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2010)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1561)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2008)
at org.apache.hadoop.ipc.Client.call(Client.java:1411)
at org.apache.hadoop.ipc.Client.call(Client.java:1364)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:206)
at com.sun.proxy.$Proxy17.addBlock(Unknown Source)
at sun.reflect.GeneratedMethodAccessor3.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606) …