re-base | Relay inspired library for building React | Authentication library

So if I understand correctly there are mainly two ways to adapt BERT to a specific task: fine-tuning (all weights are changed, even pretrained ones) and feature-based (pretrained weights are frozen). However, I am confused.

1. When to use which one? If you have unlabeled data (unsupervised learning), should you then use fine-tuning?
2. If I want to fine-tuned BERT, isn't the only option to do that using masked language model and next sentence prediction? And also: is it necessary to put another layer of neural network on top?

Thank you.

Hello, here's a more reproducible example.

I have an R script that borrows heavily from this blogpost and I'm trying to make some modifications to how the matrix of each simulation is constructed.

I'm really bad with for-loops in R, so I need a little help figuring it out.

What I'm hoping to do is find a way to inject a value to (re-baseline) for a certain row (or rows) ... maybe I'm over thinking this and missing something obvious?

I have a table where I want to update the values of "Percent Values" Measure at each filter (a user can select either one, or multiple values from a slicer/s). In visualization all the markers for a Year, Month need to add to 1.0 With or Without Slicer selections.

With the help of @Phil Leh (Issues with implementing grouped percentage with ALLEXCEPT in PowerBI) measure works on Year, Month and the measure gives correct values:

However I am not sure what I can do to have % values update with multiple selections. For example, here the percent values didn't calculate to 1.0 for Race and Year, Month at each Year, Month:

I made change to existing DAX (that gives correct values based on Year, Month) so that it can capture Race as well. But the results are wrong.

I'd like to understand if the QSP-x86 project is simulating SMM at all. I didn't see anything in the available registers/memory from the GUI debugger that would suggest there was a way for me to see SMRAM / SMI handler code. Therefore I'm wondering if I could use it to debug some SMM code or not.

I found a page that says "The Simics Quick-Start Platform is an Intel-based platform that boots from a TianoCore-base...", so is the Simics QSP source code available somewhere? Or is it just a special build of EDK2/UDK? If so, which build and how to build it? (Because that'd make my life much easier if it was just a particular TianoCore build I could fiddle with.)

Is there a way to extract data from every arrays in a pdf using python?

I've tested tabula, camelot, pdfplumber but none can extract everything or correctly.

An example:

I would like to work on these using matrix, dataframe, ...

Should I opt for OCR for better recognition ?

EDIT :

I am trying to retrieve this table from a pdf using tabula-py.

My script :

I have been watching the instructional videos on Youtube from Stoic Software and have tried uploading the following to my Netsuite account to test the creation of third party libraries:

I have a data frame with three columns (Category, Sub.category and Acitivty). I need a nested list, with these three levels to put into shinyTree.

I'm trying to match the format of this .Rds file to create a shinyTree.

My full table is 99 lines, I've included 30 below, but may need to do over 100+ in the same way.

So far I've got

I want to create an image Docker for einstore Apps and for that I need images with docker and with the command make déjà installé to run this cmd "make install-db" for that I create this docker file

I would love to understand how exactly closure happens in this set of code and the way its implemented. I was watching a tutorial and the guy was giving example on callback function and he also gave example of closure there.