vector | small vector lib in Go

I'm learning C++ and have come to a bit of a halt. I'm trying to iterate over a vector with a range-based for loop and update a property on each of the objects that belong to it. The loop is inside of an update function. The first time it fires, it works fine; I can see the property gets updated on each member of the vector. However, the next time the for loop is initiated, it's still updating the original data, as if the previous run did not actually update the source values. Is my range declaration configured correctly? Pointers are still a bit of a mystery to me. In general I'd be very thankful for any help!

I have this code which prints multiple tables

so I'm struggling with these things:

I have method that returns istream input and takes istream input as a parameter, sends values to vector and stores them in it. Now, when I've entered 1 value, I'm trying to make a check if vector already contains that value, here is my code to understand it better:

I have a simple code where I try to define a vector as one of two initializer lists using a ternary operator:

I've been attempting to create a node class which mimics a node on a graph. Currently, storage of the predecessor and successor nodes are stored via a node pointer vector: std::vector previous. The vectors for the predecessor/successor nodes are private variables and are accessible via setters/getters.

Currently, I am dealing with updating the pointer values when adding a new node. My current method to update the predecessor/successor nodes is through this method (the method is the same for successor/previous nodes, just name changes):

I am using a method to remove univariate outliers. This method only works if the vector contains outliers.

How is it possible to generalize this method to work also with vectors without outliers. I tried with ifelse without success.

I’d be grateful for suggestions as to how to remap letters in strings in a map-specified way.

Suppose, for instance, I want to change all As to Bs, all Bs to Ds, and all Ds to Fs. If I do it like this, it doesn’t do what I want since it applies the transformations successively:

Good day, everyone.

I want to have two separate TensorFlow models (f and g) and train both of them on the loss of f(g(x)). However, I want to use them separately, like g(x) or f(e), where e is an embedded vector but received not from g.

For example, the classical way to create the model with embedding looks like this:

I am trying to compute the divergence of a vector field: