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K-nearest neighbarz Lyrics by J-Wong

2017

K-nearest neighbors, surprisingly it can slay
Got these I.I.D women so I call them Naive baes
With conditional vision guessing, I guess I should listen
Their predictions more accurate than anything I could say, but wait
Equal weighter, I'm never a player hater
Cuz Naive Bayes don't care about the size of my data, now
Take a second and pause, just so you know what I mean
Y'all tryna muster the clusters I developed with K-Means
So you know what I mean, do you know what I meant
While I'm stochastically tilting the gradient with my descent
Yes I, curved the plane, but it looks just fine
Just gotta know the logistic function I usually define
It's sort of distance weighted, the middle is saturated
So the outliers in the data could never degrade it
I made it, simple, cutting dimensions to one
Fishing for data with Fisher's discrimininant till I was done
I'm tryna flatten the data to make some visual sense
Go between all the classes maximizing the variance
Just wanna categorize, supervised if I can
Maximizing it relative to the variance within
But let's all go back, for a sec in case you missed it
Take it back to a regression form that was logistic
I keep it saturated so there's no reason to doubt, just
1 over 1 plus e to the minus alpha
I like cool people, but why should I care?
Because I'm busy tryna fit a line with the least squares
So don't be in my face like you Urkel
With that equal covariance matrix looking like a circle
Homie wanna know, how I flow this free?
I said I estimated matrices with SVD
X to U Sigma V, and with V, just transpose it
I rank-r approximate and everyone knows it
I'm rolling in the whip, 'cuz a brotha gotta swerve
Jay-Z's with ROC nation while I'm on the ROC curve
True positives is good, so y'all don't wanna stop that
I took the true negatives out and now I'm finna plot that
But what about the case, where the labels isn't known yet
I guess I gotta analyze the principal components
So if anybody really wanna track this
Compute for greatest variance along the first principal axis
Taking losses and insults, yeah I don't like that burn
I prefer loss functions from models up in scikit learn
And if you didn't catch my lyrics it was right here in the notes, look
Open it in your terminal and run Jupyter Notebook
Here you can thread it, if your processor's cool
Or you can add an import line for multiprocessing pool
Then p.map it to a whole array until it returns
Pyplot your data in a graph and see what scikit learned
Got a whole data matrix and it's N by P
If you wanna stretch or compress it well that's fine by me, but
We'll see, what the data can reveal real soon
Just compute the singular vectors and their values too
It's never invertible but that's not really the worst
I'll pull an MTM on it and hit that pseudoinverse
Finding a line of best fit with no questions
And no stressin, estimate it with linear regression
Scale you in your eigenspace, put you in your eigenplace
Smack you backwards when I'm sick of looking at your eigenface
With a big empty matrix of data that wasn't done
Got 99 columns but you're still rank one
So, this one goes out, to all of my haters
Overfitting their models on validating their training data
Cuz my classifier smoking you leaving only the vapors
So don't be messin' with me, or my K nearest neighbors
Credits
J-Wong

J-Wong

About “K-nearest neighbarz” by J-Wong

Read the complete lyrics to "K-nearest neighbarz" by J-Wong in 2017. On Lyrks you can follow along with the full text, explore the artist's discography, and discover related songs. The track is often categorized under Rap.

"K-nearest neighbarz" is performed by J-Wong. in 2017 This page provides the full lyric text for fans who want to sing along, study the songwriting, or compare versions across releases. Lyrks organizes lyrics by artist and song slug so you can bookmark and share a stable URL. Music lyrics help listeners connect with emotion, narrative, and rhythm in a track. Whether you are learning English, researching a favorite chorus, or preparing for karaoke, having accurate line breaks and section labels (verse, chorus, bridge) makes the experience easier. We link to the official artist profile on Lyrks where available, including biography snippets, top songs, and chart placements when we have that data. If you enjoy "K-nearest neighbarz", explore more songs by J-Wong using the links below. Chart and trending pages on Lyrks highlight what listeners are searching for this week. For copyright or correction requests, see our DMCA and contact pages.

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"K-nearest neighbarz" is credited to J-Wong. Songwriting credits may include additional writers listed on the release; check the credits section on this page for linked collaborators.

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