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I've added my tracking id to my config.toml and everything looks like its matching up. Yet I haven’t seen any realtime data come in when I launch https://analytics.google.com/

I wrote a simple CNN using tensorflow (v2.4) + keras in python (v3.8.3). I am trying to optimize the network, and I want more info on what it is failing to predict. I am trying to add a confusion matrix, and I need to feed tensorflow.math.confusion_matrix() the test labels.

My problem is that I cannot figure out how to access the labels from the dataset object created by tf.keras.preprocessing.image_dataset_from_directory()

My images are organized in directories having the label as the name. The documentation says the function returns a tf.data.Dataset object.

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I am working on a project that automates your virtual school schedule by automatically joining your meetings on time and alerting you about them. What I am trying to have right now is a working tkinter setup window in which you can add links to a dictionary variable. All I want is for a window that asks the user to enter a link and a number and for the user to be able to click a "Finish" button that will destroy the window. I got the code down, hopefully, but I keep getting "in _create return self.tk.getint(self.tk.call( _tkinter.TclError: invalid command name ".!canvas"". I've done a good amount of research and I can't find a solution. Note: I've already tried win.update() and moving the win.mainloop() to the bottom.

I have a csv file having details of location, latitude, longitude, crime type etc. I want to make a classifier such that it will predict the crime type given the other attributes. Now, I want to train this using sklearn but sklearn requires float values.

I am looking for ways to visualize categorical data.

Imagine that I am an avid birder and I have a list of birds that I want to view and get a photo of in two different states, Oregon and Idaho.

I'm looking for a way to visually represent the progress.

My first thought was that I would want something like a table that had species as the first column, states as the next two columns, then a split square with colors that represented the progress. Something like a diagonally split heatmap, but I'm coming up short. Here's a mock-up of an example.

Other suggestions would be most welcome.

And here is a sample data set to work with:

I'm using the following python script for scraping info from Amazon pages.

At some point, it stopped returning page results. The script is starting, browsing through the keywords/pages but I only get the headers as output:

Keyword Rank Title ASIN Score Reviews Prime Date

I suspect that the problem is in the following line as this tag doesn't exist anymore and the results var doesn't get any value:

results = soup.findAll('div', attrs={'class': 's-item-container'})

This is the full code:

I currently have a Cake build script to build my individual projects in my solution and run some xUnit tests against those projects. I have not seen any documentation or examples of taking a Xamarin Unit Test App or UI tests building the dll and running them with Cake. I was wondering if such a thing is possible and if so how? My cake script:

The ICDAR 2009 dataset contains a groundtruth in xml format:

I got a notification from Facebook saying that they will invalidate calls from URIs not listed in the Valid OAuth redirect URIs this coming March 2018 and I think they are requiring us to Enable Strict Mode for Redirect URIs. Link about this can be found here.

I have been using their PHP SDK with Strict Mode disabled for a year now without any problem however when I do enable strict mode and place there the redirect url which is: https://nino-dot-dynamic-osprey-93721.appspot.com/admin/fb-callback_admin.php - it returns an error as seen below each time I try to Login with Facebook: