ReportMachine 自定义代码 画细线 procedure Memo3_OnBeforePrint(Sender: TObject); begin Memo3.Text := inttostr(Footer1.Top); Memo4.Text := inttostr(MasterData1.datasetName); Diagonal1.height :=(15-strtoint(MasterData1.datasetName))*20; end; 数据集下面填充斜线 procedure

HKCU\Software\WHF SoftWare\Report Machine\RMReport\Form\RMDesignerForm\ 设计器-工具-选项的设置 HKCU\Software\WHF SoftWare0\Report Machine\Form\TRMEditorForm 文本编辑器窗口的,有个WordWrap自动换行的设置. 那个设置窗口,点击确定后,不会立即写注册表.设计创建关闭时,才会写注册表. unit RM_Designer; const rsGridShow =

ReportMachine常见问题 2012-06-22 12:26:50|  分类: Delphi|举报|字号 订阅     下载LOFTER我的照片书  |     1.不打印特定的MemoView,套打常用a.页面设置-->其它-->不打印背景图b.设置MemoView属性printable=False2. 如何打印wwDBGrid?   修改rm.inc,如果想支持RX,GIF,JPEG,DimandAccess,Halcyon,DBISAM,   EHLib,也需要修改rm.inc 

http://rmachine.haotui.com/thread-55-1-1.html 偏高偏低提示 [IF( [RMDBDataSet1."abnormalIndicator"]='h','↑',IF( [RMDBDataSet1."abnormalIndicator"]='l','↓',''))] RMReport.ocx RMEngine.Init(); // 初始化 RMEngine.LoadFromFile('c:\1.rmf'); // 读入报表模版

1. scikit-learn介绍 scikit-learn是Python的一个开源机器学习模块,它建立在NumPy,SciPy和matplotlib模块之上.值得一提的是,scikit-learn最先是由David Cournapeau在2007年发起的一个Google Summer of Code项目,从那时起这个项目就已经拥有很多的贡献者了,而且该项目目前为止也是由一个志愿者团队在维护着. scikit-learn最大的特点就是,为用户提供各种机器学习算法接口,可以让用户简单.高效地进行数

In recent years, Kernel methods have received major attention, particularly due to the increased popularity of the Support Vector Machines. Kernel functions can be used in many applications as they provide a simple bridge from linearity to non-linear

SVMs are considered by many to be the most powerful 'black box' learning algorithm, and by posing构建 a cleverly-chosen optimization objective优化目标, one of the most widely used learning algorithms today. 第一节 向量的内积(SVM的基本数学知识) Support Vector Machines 支持向

In Week 6, you will be learning about systematically improving your learning algorithm. The videos for this week will teach you how to tell when a learning algorithm is doing poorly, and describe the 'best practices' for how to 'debug' your learning

Logistic regression is a method for classifying data into discrete outcomes. For example, we might use logistic regression to classify an email as spam or not spam. In this module, we introduce the notion of classification, the cost function for logi

观察Oracle数据库性能,Oracle自带的awr 功能为我们提供了一个近乎完美的解决方案,通过awr特性我们可以随时从数据库提取awr报告.不过awrrpt.sql脚本执行时需要我们提供一些交互信息,因此可以将其整合到shell脚本中来实现自动产生指定时段的awr报告并发送给相关人员.本文即是描述linux shell脚本来实现此功能.        1.shell脚本 robin@SZDB:~/dba_scripts/custom/awr> more autoawr.sh #!/bin/b

观察Oracle数据库性能,Oracle自带的awr 功能为我们提供了一个近乎完美的解决方案,通过awr特性我们可以随时从数据库提取awr报告.不过awrrpt.sql脚本执行时需要我们提供一些交互信息,因此可以将其整合到shell脚本中来实现自动产生指定时段的awr报告并发送给相关人员.本文对Linux/Unix shell 自动发送AWR report的功能进行了完善和补充. 1.shell脚本 robin@SZDB:~/dba_scripts/custom/awr> more autoaw

In this tutorial, we'll build a simple Universal Windows Platform application that uses a trained machine learning model to recognize a numeric digit drawn by the user. This tutorial primarily focuses on how to load and use Windows ML in your UWP app

Complete Small Focused Projects and Demonstrate Your Skills (完成小型针对性机器学习项目,证明你的能力) A portfolio is typically used by designers and artists to show examples of prior work to prospective clients and employers. Design, art and photography are examples wh

  Basic theory (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks, )  regression, classification. (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, dee

1. launch文件的写法 ❀标签          ☺<node> 启动一个节点          ☺ <param> 设置参数服务器的参数          ☺ <remap> 重映射          ☺ <machine> 声明启动要使用的机器          ☺ <include> 包含的launch文件          ☺ <group> 共享一个命名空间或者映射的元素组          ☺ <args>

题目链接:传送门 题目: F. Summer Practice Report time limit per test seconds memory limit per test megabytes input standard input output standard output Vova has taken his summer practice this year and now he should write a report on how it went. Vova has alre

原文地址:Complete Guide to Parameter Tuning in Gradient Boosting (GBM) in Python by Aarshay Jain 原文翻译与校对:@酒酒Angie(drmr_anki@qq.com) && 寒小阳(hanxiaoyang.ml@gmail.com) 时间:2016年9月. 出处:http://blog.csdn.net/han_xiaoyang/article/details/52663170 1.前言 如果一直以来你

SECD machine 对程序语言理论的理解 程序语言理论主要研究语法.语义及语言的实现.编程语言有语法,各种数学逻辑.结构化数据都有语法.乔姆斯基的语言体系及巴科斯范式是语法分析的基础,语法分析将字符串转换成有结构的抽象语法数据.对于语法的结构化表示,在命令式语言中使用数据结构,在函数式语言中使用列表或者自定义的数据类型.函数式语言的抽象性使人常常忘记了语法分析.归纳和递归是集合论.逻辑.计算理论的基础概念,同样也是程序语言理论的核心概念. 语言的实现方式包括编译和解释,对其理解的关键是环境

http://technet.microsoft.com/en-us/solutionaccelerators/dd537566.aspx http://blogs.technet.com/b/mapblog/archive/2012/11/08/windows-azure-virtual-machine-readiness-and-capacity-assessment.aspx With the release of MAP Toolkit 8.0, we have added a new

http://azure.microsoft.com/en-us/documentation/articles/virtual-machines-provision-sql-server/ Provisioning a SQL Server Virtual Machine on Azure The Azure virtual machine gallery includes several images that contain Microsoft SQL Server. You can sel