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Add code snippet for random projection
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title = "Gaussian Random Projection" | ||
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```rust | ||
// Assume we get some training data like MNIST: 60000 samples of 28*28 images (ie dim 784) | ||
let dataset = Dataset::from(Array::<f64, _>::random((60000, 28 * 28), Standard)); | ||
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// We can work in a reduced dimension using a Gaussian Random Projection | ||
let reduced_dim = 100; | ||
let proj = GaussianRandomProjection::<f32>::params() | ||
.target_dim(reduced_dim) | ||
.fit(&dataset)?; | ||
let reduced_ds = proj.transform(&dataset); | ||
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println!("New dataset shape: {:?}", reduced_ds.records().shape()); | ||
// -> New dataset shape: [60000, 100] | ||
``` |