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The Absolute Evil of Default Parameters Default parameters are evil. Seriously. It’s very convenient evil—so convenient that it crawled into my library. On the first image there is a call to train a model with: 🐴n_stages
Three out of eight Let's check three out of eight components. On the colored picture you can see the whole title. Let’s inspect three of the eight components (the colored figure shows the full title). The first component
Four basis functions. To build the MSE dataset I used four basis functions: 1, t, sin(50t), cos(50t). Why these four? 𐂅 Constant never hurts — it lets the curve shift up or down. 𐂅Linear captures any overall trend. 𐂅sin
Tree. From Gradient Boosted Decision Trees. In playing with some technology or algorithm, my favorite moment is that elusive, transitional state when it’s still a little bit “wtf?” and yet already a solid—though not yet
Retrophotos. Physics. It’s a photo from my previous life as a physicist. To be honest, it’s one of the greatest surprises of my life. You take a glass-clear piece of diamond—perfectly transparent and homogeneous. You put
The key graph in catching a culprit: basis functions. In wrong basis functions there wasn't any periods, just one slope.
The first group in the dataset
Some simple EDA steps: number of components in the whole dataset
It's alive! Finally I ran the full cycle of training and applying my EGBDT model in JupyterLab. I spent two days in a very unpleasant debug session because I broke a simple rule: Always do EDA! EDA—Exploratory Data Analy
How to set up openai helper in jupyterlab For quite a while I was procrastinating quite a simple task: to set up AI assistant in jupyter lab. Here I want to write down a sequence of steps for memory. * set up environment
Meta joke - joke about LLM cognition. To be honest, I didn't get this joke until asked iron friend to explain it.
The final dataset
The second dataset with all letters capital
The second iteration of RANSAC approach
narrow band
extrapolating function
How to find linear superposition in chaos Now we have a set of points which, while fairly random from a mathematical point of view, give us a depiction of the “Extra Boost” sign. For my method, I need to find several gro
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Scatter - normal orientation