acc | Python implementation of Accounting Pattern | Architecture library

Im attempting to find model performance metrics (F1 score, accuracy, recall) following this guide https://machinelearningmastery.com/how-to-calculate-precision-recall-f1-and-more-for-deep-learning-models/

This exact code was working a few months ago but now returning all sorts of errors, very confusing since i havent changed one character of this code. Maybe a package update has changed things?

I fit the sequential model with model.fit, then used model.evaluate to find test accuracy. Now i am attempting to use model.predict_classes to make class predictions (model is a multi-class classifier). Code shown below:

When I go to the finder and select "Examples" then I can't figure out how to find a method that turns #( $H $e $l $l $o ). into 'Hello'. Nor does MethodFinder new findMethodsByExampleInput: #( $H $e $l $l $o ) andExpectedResult: 'Hello'. work.

know how to do it(*), but I want to know how to utilize the Finder.

I guess the Finder simply can't find it? Am I missing something?

(*) For example, one way to do it i: String newFrom: #( $H $e $l $l $o ).. Another way would be: #($H $e $l $l $o) inject: '' into: [ :acc :el | acc, (el asString) ]. (though I would not expect the second way to be found by the Finder)

I have the following Pandas Dataframe:

I have a vector of vector like the following.

I want to turn this halting, discontinuous trails in the particle on this simulation

to something worth staring at as in this beautiful field flow in here (not my work, but I don't remember where I got it from).

I have tried different permutations of the code in the accomplished field flow without getting anything remotely close to the smoothness in the transitions that I was aiming for. I suspect I am mishandling the updates or the placement of the black rectangle that seems to circumvent the need for a black background, which would erase the wake of the particles.

I got half-way through what I wanted in the representation of physics vector fields in 2D with p5js here. The other half is to get random particles to dynamically follow the forces of the vector field, and I am having a lot of problems with it. I have tried multiple things to take into account the wrap-around of the particles, as well as the fact that I am translating the origin of the plot to the center of the canvas. However, the particles seem minimally affected by the individual vectors in the field, and ultimately march along the x axis with slight bumpiness.

The fact that I am completely new at JS doesn't help splice all these elements from several presentations available online, and I would appreciate any advise as to what may be going wrong, and where I should focus on.

Here is what I have so far: a file sketch.js corresponding to my own answer quoted above:

From an iterable, I'd like to generate an iterable of its prefixes (including the original iterable itself).

Here's a 'compose' function which I need to improve: