Count nonzero entries
Penguin learning project
The project uses 342 complete Palmer penguin records: 240 training-pool and 102 held-out rows. The selected training rows determine feature scaling and model parameters. Source CSV
This project trains weights with softmax, unlike the homepage lab, which uses nearest species averages. Same penguin measurements; different classification methods. Predictions can differ.
Frames and sparse signals · Encode or reconstruct signals with frames and dictionaries.
The project scales bill and flipper measurements using training-row means and scales; its feature vector has two entries.
Consider this concept alongside the project; its source assumptions may differ. These observations do not prove a theorem.
Input: 12 × 2; Held-out evaluation: 102 · #58 · 40.6 mm, 193 mm. Known answer: Adélie; Prediction: Adélie · [≈0.7383, ≈0.2444, ≈0.01737].
Used in these source sections: 7.2 A few building blocks at a time
Count entries that are not zero. Despite the notation, this count is not a norm in the usual mathematical sense.
Sparsity means using only a few nonzero coefficients.
Source formula example
exact · The result is exact for these finite toy inputs, apart from ordinary computer rounding.
Symbols
- A vector of p real coefficients.
- Number of coefficients.
Source formula example
This source example uses its own inputs and assumptions. Editing it does not change the project.
Edit a value or the code, then run the example. This is a finite demonstration, not a proof of the paper’s theorem.
This example’s data flow
Code changed. Reset to restore this example’s data flow.
You choose
input.first= 1
Calculated here
Result expression: { coefficients, nonzero: coefficients.filter((value) => value !== 0).length }
coefficients=[input.first, 0, 2, 0]Uses:input.first
Returns
coefficients- array (4 items): [1, 0, 2, 0]
nonzero- 2
Read numbers from input and return the result. JavaScript basics.
Result
Technical statement
Change the input and run the same code again. The displayed result uses the values shown above.
Source: Source expression