bart | BART : Toolbox for Computational Magnetic Resonance Imaging | Data Labeling library

I several projects I have run into a similar effect in my grammars.

I have the need to parse something like Key="Value"

So I create a grammar (simplest I could make to show the effect):

I have a DataFrame column with 3 values - Bart, Peg, Human. I need to one-hot encode them such that Bart and Peg stay as columns and human is represented as 0 0.

Similar questions have been asked, for example here and here but none of the other questions can be applied to my issue. Im trying to determine and count which observations are in each node in a decision tree. However, the tree structure is coming from a data frame of trees that Im creating myself from the BART package. Im extracting tree information from BART package and turning it into a data frame that resembles the one shown below (i.e., df). But I need to work with the data frame structure provided. Aside: I believe the method im using, in relation to how the trees are drawn/ordered in my data frame, is called 'depth first'.

For example, my data frame of trees looks like this:

Since few hours I am stuck on a specific excel case ...

To summarize: I have different kind of category:

• Category A: Math and physics
• Category B: Math and Music
• Category C: Physic and Sport
• Category D: Sport and Music

The result on my excel file:

How can I have the the different category on the profile ? It can have 1 or several categories at the same time.

I created this formula but it match only one category and I would like to have all the possibility...

I have a table with names of towns, municipality, county and coordinates. Unfortunately, some towns have "near duplicates", i.e. there exists another row with the same name, municipality, county and coordinates very near the first row. Some even have more than one "near duplicate".

How can I remove all but one of these kinds of rows?

I know I can use a CTE with ROW_NUMBER() OVER(PARTITION BY name, municipality, county, latitude, longitude) to delete exact duplicates. But how can I check if the latitude and longitude are, say, within 0.005 (=roughly 500-600 meters with lat/lng in decimal degrees) of each other?

I'm making a simple calendar in PHP in the form of a vertical table. When the page loads I want it to scroll automatically to the current day with an animation.

I chose to create it myself because classes available on the internet don't allow to show the content in the way I want.

This is always working correctly in Chrome on Windows PC, but in Edge and Chrome on Android it only works in Incognito mode or 1 single time after clearing the cache.

I tried every solution suggested on the internet, but nothing works.

• Removing viewport
• Only animate $('body')
• Remove overflow: hidden
• Set overflow hidden first, then animate and then set overflow again to auto
• Remove height: 100%
• Adding cache headers in HTML

I don't know anymore what to do. What could be the problem?

Please keep in mind that I'm just a beginning developer, doing this in my spare time only.

The current code:

[PS: I know it is better to seperate HTML and CSS, but it is just a test. Also, the variables and their values are simplified in the example.]

Goal: Amend this Notebook to work with Albert and Distilbert models

Kernel: conda_pytorch_p36. I did Restart & Run All, and refreshed file view in working directory.

Error occurs in Section 1.2, only for these 2 new models.

For filenames etc., I've created a variable used everywhere:

I need to read lines from a text file and extract the quoted person name and quoted text from each line.

lines look similar to this:

"Am I ever!", Homer Simpson responded.

Remarks:

Hint: Use the returned object from the 'open' method to get the file handler. Each line you read is expected to contain a new-line in the end of the line. Remove the new-line as following: line_cln =line.strip()

There are the options for each line (assume one of these three options): The first set of patterns, for which the person name appears before the quoted text. The second set of patterns, for which the quoted text appears before the person. Empty lines.

Complete the transfer_raw_text_to_dataframe function to return a dataframe with the extracted person name and text as explained above. The information is expected to be extracted from the lines of the given 'filename' file.

The returned dataframe should include two columns:

• person_name - containing the extracted person name for each line.
• extracted_text - containing the extracted quoted text for each line.

The returned values:

• dataframe - The dataframe with the extracted information as described above.

• Important Note: if a line does not contain any quotation pattern, no information should be saved in the corresponding row in the dataframe.

what I got so far: [edited]

I have some data in dataframe which looks like this: