Dimensions | Generalized Artificial Intelligence Competition Framework | Machine Learning library

I have a column in mysql which stores a column with json files and the the key of the json can contain any unicode characters. I have a query to calculate the cardinality of the specific key

How can I stretch my subview across 100% width of its parent, minus 20px margin on each side? In other words, I need it to fill the width of the parent, with 20px open on each side.

I know in React-Native I can use width: '80%' to make my subview's width relative to that of its parent, but then it's not always precisely 20px on the sides. I also know that I can use alignSelf: 'stretch', however that is not working for me - it has unexpected / unreliable results. I don't want to use Dimensions, as the parent will not always be the device's screen, so Dimensions.get('window').width is inadequate for this problem.

What other options do I have?

I've written this code down here but my problem is whenever i hit the run button and execute my program the values are fine but every element of the 2D array is printed out in a separate line, it's not printing a square with area its dimensions (size n x n) like i wanted, how can i fix this?

my code

it should be like this what i want it to look like

I am trying to build a table where I am summing multiple measures and would like to categorise them into dimensions.

To simplify, I have a table in the warehouse with the below schema:

I am trying to make a next-word prediction model with LSTM + Mixture Density Network Based on this implementation(https://www.katnoria.com/mdn/).

Input: 300-dimensional word vectors*window size(5) and 21-dimensional array(c) representing topic distribution of the document, used to train hidden initial states.

Output: mixing coefficient*num_gaussians, variance*num_gaussians, mean*num_gaussians*300(vector size)

x.shape, y.shape, c.shape with an experimental 161 obserbations gives me such:

(TensorShape([161, 5, 300]), TensorShape([161, 300]), TensorShape([161, 21]))

I have a ListBox1 in UserForm1. When I send a multi-row array to a .List, everything works. But when I send only a one-row array, the values in the ListBox1 are arranged one below the other in first column. Independent of use Application.Transpose.

I tried to write a condition and a for loop, but it doesn't work. Run-time error 381 Could not set the List property. Invalid property array index. .AddItem cannot be used because there are more than 10 columns

Do you have any other solution?

I need a function that multiply a matrix and a vector (Matrix*vector)

It takes in a matrix A and a vector B, with int describing the dimensions. Somehow it isn't running correctly. Any help??

I have the following development that I am working on with the ElementTree and Pandas module in Python:

Is there any better or simpler solution for this task:

"A matrix of dimensions MxN is given, filled with the numbers 0 and 1. The field on which the number 0 is written represents land, and the field on which it is written number 1 represents water. Write a function largestLake(int [] [] map) which calculates the size of the largest water surface in the matrix map. The size of a water surface is the number of fields of value 1 that that water surface contains. Two water cells are considered connected if they are adjacent horizontally, vertically or diagonally." ?

Example:
Input:
4 5 //MxN
0 0 1 1 0
1 0 1 1 0
0 1 0 0 0
0 0 0 1 1
Output:
6

I tried to find it with BFS algorithm, but it ended up with too many loops. It says in the task that "The best solution has complexity O (M * N)."

I loaded matrix in main and here is my function: