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August 9

Best way to download images from Google Arts & Culture?

I want to download faithful photographic reproductions of public domain two-dimensional artworks from Google Arts & Culture (formerly known as Google Art Project) such as this one and then upload them to Wikimedia Commons. Many of the artworks made available under the old Google Art Project banner have been uploaded through concerted efforts to Commons such as ones seen here but the rebranding into Google Arts & Culture also came with many new available artworks that have not been uploaded yet.

What is the best way to download images from Google Arts & Culture at maximum zoom level? Will Dezoomify accomplish this objective? I did try Google Image search but I highly I doubt that the image I found was at maximum zoom level. StellarHalo (talk) 11:53, 9 August 2020 (UTC)[reply]

You want to web scrape the images and if you want to do it at any scale, it wouldn't surprise me if they put some obstacles like recaptcha in your way. Take a look here though. 2602:24A:DE47:BB20:50DE:F402:42A6:A17D (talk) 14:00, 10 August 2020 (UTC)[reply]

There is another hurdle... Those images are fed in tiles, not a single image. 97.82.165.112 (talk) 18:37, 10 August 2020 (UTC)[reply]

August 11

Windows 10 Apps no longer recognises Firefox

I use Windows 10 on my work computer. Earlier this week Firefox told me that it can't be automatically updated and I would have to download an up-to-date version myself, so I did that.

Now after I installed the updated version, Firefox runs all OK when launched from the Start menu or from the taskbar, but the Apps control panel on Windows 10 has stopped admitting Firefox exists. It is nowhere to be found in the entire panel. As a result, I am unable to set Firefox as my default browser. I can set Microsoft Edge, Internet Explorer, Opera or Chrome as my default browser, but I would want to have Firefox.

What has caused this and how can I fix it? JIP | Talk 20:32, 11 August 2020 (UTC)[reply]

Python Scikit-Learn with complex classifications

I have the following problem: I have a number of complex logical riddles (in the 10000s). I have a number of strategies to solve riddles (in principle infinitely many, but in practice around a few hundred to a few thousand). Some riddles are solved by some strategies - some by many, some by all, some by none. I would like to predict which strategies can solve which riddles. Or more precisely: I want to learn an assignment from riddles to strategies so that (if it exists) each riddle is assigned a "winning" strategy. The problem I'm facing is that this is not a simple classification problem - for most riddles there are multiple correct answers. I could, of course, hack my own (e.g.) decision tree algorithm. But I know there are other smart people who have a lot more experience with machine learning than I have. So my question: Is this a problem for which scikit-learn (which I like) has a simple answer to? Or are there some good search terms to look for answers elsewhere? Thanks! --Stephan Schulz (talk) 21:00, 11 August 2020 (UTC)[reply]

Classification algorithms are not limited to objects that fit neatly into one and only one category. One way to view it is like a map. Imagine a big square map with four corners. Each corner is a category. You place an object on the map. Classification is not a matter of seeing which corner it sits on. It is on the map, not in a corner. Classification is a measure of the distance from each corner. You set a rule that says the shortest distance is the corner the object belongs to. If that makes sense to you, you can expand it to many dimensions. You define fake objects that are the centers of your categories. You measure the distance between an object and each category. The shortest distance defines which category the object belongs to. That can take a long time. So, you don't check every category. You check the most popular ones first and you set a cutoff for the distance. If your object is within a certain distance of a popular category, you place it in that category. It may also be within a certain distance of another category, but you already placed it in the more popular category. The key is in how you measure similarity or distance between objects. You can write your own algorithm. Most are rooted in some form of vector angle or some form of edit distance. It is also popular to throw out all ideas about classification and just use SVD, even though SVD is not a classification method. Once you have a measure of similarity or distance that you like, the rest of the work becomes rather trivial. 97.82.165.112 (talk) 11:15, 12 August 2020 (UTC)[reply]

All of that is quite right, and quite clear to me. My problem is that I would like to leverage the existing code base to address my particular problem. The easiest way would e.g. be if the learning algorithm does not work with a class label for training examples, but with a classification function that would return true or false (or 0/1), based on the predicted class. --Stephan Schulz (talk) 12:17, 12 August 2020 (UTC)[reply]

August 12

How Do You Logout of Twitter Web Site?

I can't figure out how to log out of Twitter (web site). I don't see a log out button anywhere. I've read several articles about how to log out and none of the instructions work. This should be easy. Can someone please explain how to logout out of Twitter's website? AnonComputerGuy (talk) 14:59, 12 August 2020 (UTC)[reply]

To logout,

Click on your profile picture at the bottom-left of the webbrowser
A menu will appear, the bottom item should be 'Log Out @MyHandle'

A lot of webservices have the logout option in the user-profile menu LongHairedFop (talk) 16:16, 12 August 2020 (UTC)[reply]

Resolved

Ah, OK! My problem was that on my computer, the profile picture was scrolled off the screen and I couldn't see it. I saw the horizontal scrollbars, but I thought that was for the Tweets pane. It was only when I hid the Bookmarks Bar that the profile picture scrolled into view. Thanks! AnonComputerGuy (talk) 17:50, 12 August 2020 (UTC)[reply]