Alright folks, lemme tell ya about this “rory and bones” thing I’ve been messing around with. It’s kinda cool, kinda janky, but hey, that’s how we learn, right?
So, it all started ’cause I was bored, plain and simple. Saw some chatter online about using these two libraries – let’s call ’em Rory and Bones for short – to do some, uh, stuff. I won’t bore you with the details of what exactly I wanted to do, just know it involved data and making it dance.
First thing I did, obviously, was install the dang things. pip install rory bones… or something like that. Honestly, can’t remember the exact commands. It’s all a blur of terminal windows and error messages at this point.
Then came the fun part: trying to figure out how the heck they work. Rory seemed pretty straightforward, all nice and documented. Bones, on the other hand, was like trying to decipher ancient hieroglyphics. The official docs were, shall we say, lacking. Had to dig through some forum posts and GitHub issues to even get a basic example running.
I started with Rory, getting it to read in my data. That part was easy enough. It’s basically just like opening a file and looping through the lines. The challenge was getting it into the right format for Bones. Bones is picky, real picky. It wants everything just so, or it throws a fit.
Spent a good few hours wrestling with data types, converting things to integers, floats, strings… you name it. At one point, I was pretty sure I’d accidentally summoned a demon by chanting error messages backwards. But eventually, I got it working. Rory was feeding Bones happy little data packets.
Next, I had to configure Bones. This involved a lot of trial and error. The parameters were obscure, the error messages were cryptic, and my coffee was getting cold. I tried tweaking things one by one, hoping to stumble upon the magic combination that would make it sing. Spoiler alert: there was no magic combination.
Turns out, I was missing a crucial step. Bones needs to be trained. Yeah, like a dog. You gotta show it what you want it to do, give it some examples, and hope it learns. This involved feeding it a subset of my data and letting it chew on it for a while. Took a while, I mean a long while like I can watch two movies.
Finally, after what felt like an eternity, Bones started to… do things. Not exactly the right things, mind you, but things nonetheless. It was predicting stuff, classifying stuff, and generally making a mess of stuff. But hey, it was a start. I have to admit I was so excited that time and I ordered a pizza to celebrate it.
From there, it was just a matter of tweaking and tuning. Experimenting with different training parameters, cleaning up the data, and generally trying to coax Bones into behaving itself. It was a slow, iterative process, but gradually, I started to see some improvements. The predictions got more accurate, the classifications got more reliable, and the mess got a little less messy.
Did I achieve my original goal? Eh, kinda. Let’s just say it’s a work in progress. But I learned a lot along the way. I learned that Rory and Bones can be a powerful combination, but they’re also a bit of a pain to work with. I learned that documentation is your friend (even when it’s bad). And I learned that sometimes, the best way to learn something is to just dive in and start messing around.
So, yeah, that’s my “rory and bones” story. Hope it was mildly entertaining. Now, if you’ll excuse me, I’m gonna go clean up the mess I made.
