vsm | 易学教程

vsm安装（5）

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五、 Storage node节点配置过程软件包安装（注意安装依赖包）  cd vsmrepo  yum localinstall -y *.rpm 准备配置文件 1）编辑/etc/manifest/server.manifest，配置controller节点的ip 2）执行replace-str命令配置contoller与agent之间的认证token  replace-str 9291376733ec4662929eadcf9eda3b44-e38aeba41c884fc88321ac84028792e4 3）使用parted分区命令，根据实际情况将本地磁盘分区，做好osd的初始化准备  parted /dev/sdb -- mklabel gpt  parted -a optimal /dev/sdb -- mkpart 1MB 2048MB #用于journel  parted -a optimal /dev/sdb -- mkpart 2049MB 100% #用于data 4）转换建立好的磁盘分区为disk_by_path格式 ls

VisualStateManager and generated transitions

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问题 Just when I think I understand the VisualStateManager , something proves me wrong. I'm using WPF 4 and am trying to simply enlarge an item on mouse over, and shrink it back on mouse leave. I figured I'd just define each state in a VisualStateGroup and then specify a VisualTransition with a GeneratedDuration : <Border x:Name="PART_Root" Background="{TemplateBinding Background}" BorderBrush="{TemplateBinding BorderBrush}" BorderThickness="{TemplateBinding BorderThickness}" RenderTransformOrigin

Silverlight DataStateBehavior, initial value not used

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问题 I am trying to use the Silverlight DataStateBehavior, it works fine in most cases where I click a button which sets say a 'Selected' Property in the view model to either false or true. The DataStateBehavior then tells the VisualStateManager to go to the relevant state. Like this: <Button...> <i:Interaction.Behaviors> <id:DataStateBehavior Binding="{Binding Selected}" Value="True" TrueState="SelectedVisualState" FalseState="DeselectedVisualState"/> </i:Interaction.Behaviors> </Button> The

Problem setting Foreground with Visual State Manager

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问题 I have a WPF application, and I am attempting to style a TextBox using the .Net v4 Visual State Manager. Specifically, I am attempting to set the colors of the Foreground and Background for the MouseOver state. What is happening is that, while the background and border are changing perfectly, the foreground is not. If the brushes that I am using get their color via a StaticResource, then the foreground does not change at all. If the brushes that I am using get their color via a

Problem setting Foreground with Visual State Manager

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海量数据处理专题（八）——倒排索引(搜索引擎之基石)

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引言：在信息大爆炸的今天，有了搜索引擎的帮助，使得我们能够快速，便捷的找到所求。提到搜索引擎，就不得不说VSM模型，说到VSM，就不得不聊倒排索引。可以毫不夸张的讲，倒排索引是搜索引擎的基石。 VSM检索模型 VSM全称是Vector Space Model(向量空间模型)，是IR(Information Retrieval信息检索)模型中的一种，由于其简单，直观，高效，所以被广泛的应用到搜索引擎的架构中。98年的Google就是凭借这样的一个模型，开始了它的疯狂扩张之路。废话不多说，让我们来看看到底VSM是一个什么东东。在开始之前，我默认大家对线性代数里面的向量(Vector)有一定了解的。向量是既有大小又有方向的量，通常用有向线段表示，向量有：加、减、倍数、内积、距离、模、夹角的运算。文档(Document)：一个完整的信息单元，对应的搜索引擎系统里，就是指一个个的网页。标引项(Term)：文档的基本构成单位，例如在英文中可以看做是一个单词，在中文中可以看作一个词语。查询(Query)：一个用户的输入，一般由多个Term构成。那么用一句话概况搜索引擎所做的事情就是：对于用户输入的Query，找到最相似的Document返回给用户。而这正是IR模型所解决的问题：信息检索模型是指如何对查询和文档进行表示，然后对它们进行相似度计算的框架和方法。举个简单的例子：

Cosine similarity and tf-idf

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I am confused by the following comment about TF-IDF and Cosine Similarity . I was reading up on both and then on wiki under Cosine Similarity I find this sentence "In case of of information retrieval, the cosine similarity of two documents will range from 0 to 1, since the term frequencies (tf-idf weights) cannot be negative. The angle between two term frequency vectors cannot be greater than 90." Now I'm wondering....aren't they 2 different things? Is tf-idf already inside the cosine similarity? If yes, then what the heck - I can only see the inner dot products and euclidean lengths. I

What is the replacement for DataTrigger in Silverlight

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This is my scenario. I have 2 Properties. Type and State. Type is an Enum with 3 values eg, ball, car, arrow. State is an int which would accept 3 state values eg., -1, 0, 1. Also, I have 9 images for each state values. Like, if I select type as ball and value as -1, I want to display a Red color ball. If I select type as arrow and value as 1, I want to display a up arrow. etc., I'm able to do this in WPF. I created 3 DataTemplates with an empty Image. Then, I use DataTrigger to check and update the particular image for the selected StateValue. But, in silverlight how can I do this. I know, I

Cosine similarity and tf-idf

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问题 I am confused by the following comment about TF-IDF and Cosine Similarity . I was reading up on both and then on wiki under Cosine Similarity I find this sentence "In case of of information retrieval, the cosine similarity of two documents will range from 0 to 1, since the term frequencies (tf-idf weights) cannot be negative. The angle between two term frequency vectors cannot be greater than 90." Now I'm wondering....aren't they 2 different things? Is tf-idf already inside the cosine

Simple implementation of N-Gram, tf-idf and Cosine similarity in Python

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I need to compare documents stored in a DB and come up with a similarity score between 0 and 1. The method I need to use has to be very simple. Implementing a vanilla version of n-grams (where it possible to define how many grams to use), along with a simple implementation of tf-idf and Cosine similarity. Is there any program that can do this? Or should I start writing this from scratch? Check out NLTK package: http://www.nltk.org it has everything what you need For the cosine_similarity: def cosine_distance(u, v): """ Returns the cosine of the angle between vectors v and u. This is equal to u