pneumonia | National Novel Pneumonia Epidemic Statistics-Real-time

I am trying to use the pretrained SciBERT model (https://huggingface.co/allenai/scibert_scivocab_uncased) from Huggingface to predict masked words in scientific/biomedical text. This produces errors, and not sure how to move forward from this point.

Here is the code so far -

I'm fairly new to keras and tensorflow. I'm trying to figure out why running my code gives me an error when using dense layer = 2 and not dense = 1. This is how I assigned the classes based on a dir structure:

I use the library TextRazor to analyze a text and save it in a text file but when I open the file it's empty

I'm doing this kaggle contest where i have to classify this x-ray in 3 category bacteria,virus or normal.
I don't get why it keep me give the same error.
Images are rgb, and output shape is (none,3) so I really don't get where the thing with shape (none,1) is.

Can someone help me?

Here is my code: import tensorflow as tf from tensorflow import keras from tensorflow.keras import layers

I want to create a dynamic user interface. I want nothing to be displayed when I select "Total", not even an empty frame. I want something to be displayed only when I select "Cancer" or " without cancer".

I am working an a project for setting up a basic responsive web page for myself. I have everything the way that I want it for my set up but I am having problems with my function to open and close the hamburger menu on screens with a max-width of less than 480px. If I take the method toggleMenu() off of my div with a menu class and I uncomment out the javascript code that is currently commented out and comment out the code that is currently active, everything works perfect on every click. However if I leave the code as is and run it in the browser the menu only toggles open on every other click, so the first time I click it nothing happens, the second time I click it, the menu opens up, the third time I click it nothing happens and finally when I click the fourth time the menu closes back up again. The other issue that I am having is currently I have to include an external script file or put a script inside of my html file rather than relying on my build.js file to import the code. My question is what am I missing to get my menu to open and close correctly while still calling a function from my menu class and how would I write this as a module that I can bundle and run from my build.js file. Any help is greatly appreciated and thank you in advance. My HTML File:

I have multiple data frames that looks like this (shortened):

I have a data frame that has a bunch of columns and my end goal is to rank hospitals by one of the columns in each state. I have used the split function to make separate data frames for each state, but now I want to manipulate all of those data frames in the same way. I could write 50 lines of code, but that would not be very efficient.

So to be clear, my question is when I use the split function to split 1 data frame into many data frames, how do I repeat the same action on each data frame? See below for the code:

I am trying to remove 'Not Available' from a .csv file using R. I have already figured out how to narrow down my file and arrange the data but the Not availables are not being removed. I have tried using complete.cases, na.omit and lapply and none of them work. Any help on this would be appreciated.See below for the assignment:

"Write a function called best that take two arguments: the 2-character abbreviated name of a state and an outcome name. The function reads the outcome-of-care-measures.csv file and returns a character vector with the name of the hospital that has the best (i.e. lowest) 30-day mortality for the specified outcome in that state. The hospital name is the name provided in the Hospital.Name variable. The outcomes can be one of “heart attack”, “heart failure”, or “pneumonia”. Hospitals that do not have data on a particular outcome should be excluded from the set of hospitals when deciding the rankings"