distribution

iOS: Over-The-Air installation - black download icon on retina iPad

由 隐身守侯 提交于 2019-12-06 15:00:14
问题 I've setup over-the-air distribution for our iOS enterprise App. It works, but during the download, the app icon displays black on iPad3 while on iPad1 the proper icon is shown. I uploaded two icons, one in 57x57 pixels and one in 512x512 pixels. Probably I need to provide retina icons too - but I do not see how to add them to the manifest.plist, as this file contains only two icon entries: <dict> <key>kind</key> <string>display-image</string> <key>needs-shine</key> <true/> <key>url</key>

Reading/Filtering Distribution Group's Subgroups of an active directory?

由 不问归期 提交于 2019-12-06 12:30:49
I've an Active Directory with domain myDomain.local , under it there exists a Distribution Group that contains many groups. How can I read (programmatically) all these subgroups to retrieve a list of their names ? And how to optimize the query to filter the result so that it just retrieves all the groups that ends with the word Region ? BTW, I'm using C#.Net, ASP.Net and sharepoint, and i'm not experienced with AD. If you're on .NET 3.5 (or can upgrade to it), you can use this code using the System.DirectoryServices.AccountManagement namespace: // create the "context" in which to operate -

Partial shade of distribution plot using Seaborn

由 家住魔仙堡 提交于 2019-12-06 11:33:44
问题 Following simple code: import numpy as np import seaborn as sns dist = np.random.normal(loc=0, scale=1, size=1000) ax = sns.kdeplot(dist, shade=True); Yields the following image: I would like to only shade everything right (or left to some x value). What is the simplest way? I am ready to use something other than Seaborn. 回答1: After calling ax = sns.kdeplot(dist, shade=True) , the last line in ax.get_lines() corresponds to the kde density curve: ax = sns.kdeplot(dist, shade=True) line = ax

Xcode App Distribution to Friends

由 老子叫甜甜 提交于 2019-12-06 10:41:23
Yesterday I saw a Website of a Company which has a test version of their iPhone App downloadable for everybody from their website. Since I am an Apple Developer, I know that you need the UDID of the target device to declare it as a test device, because you have to code sign it to the device. When I have downloaded the file, it was a normal App file from Xcode. I dragged it to iTunes and from there to my Device, and what do you suppose happened? Yes; it worked on my Device!! ;-) I have not jail-broken my device and the app Works on any device I have tried it on without add the devices to any

Multivariate robust outlier detection using R

由 ♀尐吖头ヾ 提交于 2019-12-06 09:22:10
问题 What is the preferred way (in your opinion) to perform multivariate robust outlier detection in R in an automatic way, i.e. without manual inspection and plotting? I have found the "dprep" package, but it seems discontinued. However, as outlier detection is a frequent and important task, a generic default method should be available, e.g. the MCD estimator (Rousseeuw and Van Driesen, 1999). 回答1: Try covMcd in package robustbase. 回答2: Use Cook's Distance You could use cook's distance. Cook's

iOS 8.1 Enterprise Distribution

由 烈酒焚心 提交于 2019-12-06 08:05:17
I have an application that is built with xcode 6.1. I created a plist to go with it. It downloads just fine on iOS 8.0.2 and before, however, it always fails to install on any iOS 8.1 devices. Here are my steps I am following. Archive the ipa file using the created certificate and provisioning profile Host the plist and ipa file in your server Include a download html file with a href tag with src "itms-services://?action=download-manifest&url=https://mypassagewaytest.gwic.com/gw/premcalc/iPremium.plist" And my plist <?xml version="1.0" encoding="UTF-8"?> <!DOCTYPE plist PUBLIC "-//Apple//DTD

Boost: Store Pointers to Distributions in Vector

由 Deadly 提交于 2019-12-06 06:51:28
问题 Hi Stack Exchange Experts, I'm trying to collect pointers to different statistical distributions provided by Boost in one vector. If distributions would be derived from one (virtual) parent class I could write something like std::vector<Parent> v; boost::math::normal_distribution<double> n; boost::math::students_t_distribution<float> t(4); boost::math::normal_distribution<double> *p1 = new boost::math::normal_distribution<double>(n); boost::math::students_t_distribution<float> *p2 = new boost

How can I distort the distribution of a set of random numbers?

由 |▌冷眼眸甩不掉的悲伤 提交于 2019-12-06 06:27:42
I want to craft an algorithm that will give me numbers that are random in the sense that I have no idea what they'll be, but at the same time, numbers that are closer to 0 have to be more likely to occur as output while those closer to 1 must be less likely. I'd like to play around with both linear and exponential distributions, so please give at least hints for implementing both. I've thought and thought about how to approach this issue, but I still don't even have a clue, so any pointers would be appreciated. NOTE: I'm not looking to discuss, nor do I yet understand, the intricacies of "true

TransformedDistribution in Mathematica

由 纵然是瞬间 提交于 2019-12-06 05:51:45
问题 I have developed some code to generate random variates from the product of a LogNormalDistribution and a StableDistribution: LNStableRV[{\[Alpha]_, \[Beta]_, \[Gamma]_, \[Sigma]_, \[Delta]_}, n_] := Module[{LNRV, SDRV, LNSRV}, LNRV = RandomVariate[LogNormalDistribution[Log[\[Gamma]], \[Sigma]], n]; SDRV = RandomVariate[ StableDistribution[\[Alpha], \[Beta], \[Gamma], \[Sigma]], n]; LNRV * SDRV + \[Delta] ] (* Note the delta serves as a location parameter *) I think this works fine: LNStableRV

Static variables restriction in session beans

由 只愿长相守 提交于 2019-12-06 03:03:46
问题 It's impossible to use static variables on a session bean code. Is this restriction arbitrary or fundamented? And why? Best regards 回答1: As stated in the FAQ on EJB restrictions, one of the restrictions for using EJBs is: enterprise beans should not read or write nonfinal static fields Further expanded in the discussion on static fields: Nonfinal static class fields are disallowed in EJBs because such fields make an enterprise bean difficult or impossible to distribute. Static class fields
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