Classification Pipeline for a batting average
Built for engineers using it for real design work. Go from concept to a running model in the browser, then scale to the cloud when needed. Simulate a batting average live below — adjust the inputs and watch it respond, right in your browser.
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PCA finds the directions along which data varies most. The eigenvectors of the covariance matrix are the principal components (cyan = most variance, green = least), and their eigenvalues are the variances along each. Projecting onto the top components is the basis of dimensionality reduction.
Data Inspector
Governing equation
Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.
Controls
Presets
A tiny multilayer perceptron trained by real backpropagation. The background shows its learned decision boundary; dots are the training data, colored by true class.
Data Inspector
Governing equation
Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.
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Frequently asked questions
- Is this good for engineers?
- Yes — this version of "Classification Pipeline for a batting average" is framed for engineers using it for real design work. Go from concept to a running model in the browser, then scale to the cloud when needed.
- Do I need to install anything?
- No. It runs in any modern browser, free, with no account required.