6f22bbd150
* chore: fix clippy lints --------- Co-authored-by: Luis Moreno <morenol@users.noreply.github.com>
71 lines
2.3 KiB
Rust
71 lines
2.3 KiB
Rust
//! # Optical Recognition of Handwritten Digits Dataset
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//!
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//! | Number of Instances | Number of Attributes | Missing Values? | Associated Tasks: |
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//! |-|-|-|-|
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//! | 1797 | 64 | No | Classification, Clusteing |
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//!
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//! [Digits dataset](https://archive.ics.uci.edu/ml/datasets/Optical+Recognition+of+Handwritten+Digits) contains normalized bitmaps of handwritten digits (0-9) from a preprinted form.
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//! This multivariate dataset is frequently used to demonstrate various machine learning algorithms.
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//!
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//! All input attributes are integers in the range 0..16.
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//!
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use crate::dataset::deserialize_data;
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use crate::dataset::Dataset;
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/// Get dataset
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pub fn load_dataset() -> Dataset<f32, f32> {
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let (x, y, num_samples, num_features) = match deserialize_data(std::include_bytes!("digits.xy"))
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{
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Err(why) => panic!("Can't deserialize digits.xy. {why}"),
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Ok((x, y, num_samples, num_features)) => (x, y, num_samples, num_features),
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};
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Dataset {
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data: x,
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target: y,
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num_samples,
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num_features,
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feature_names: ["sepal length (cm)",
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"sepal width (cm)",
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"petal length (cm)",
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"petal width (cm)"]
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.iter()
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.map(|s| s.to_string())
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.collect(),
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target_names: ["setosa", "versicolor", "virginica"]
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.iter()
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.map(|s| s.to_string())
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.collect(),
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description: "Digits dataset: https://archive.ics.uci.edu/ml/datasets/Optical+Recognition+of+Handwritten+Digits".to_string(),
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}
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}
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#[cfg(test)]
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mod tests {
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#[cfg(not(target_arch = "wasm32"))]
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use super::super::*;
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use super::*;
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#[cfg(not(target_arch = "wasm32"))]
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#[test]
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#[ignore]
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fn refresh_digits_dataset() {
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// run this test to generate digits.xy file.
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let dataset = load_dataset();
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assert!(serialize_data(&dataset, "digits.xy").is_ok());
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}
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#[cfg_attr(
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all(target_arch = "wasm32", not(target_os = "wasi")),
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wasm_bindgen_test::wasm_bindgen_test
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)]
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#[test]
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fn digits_dataset() {
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let dataset = load_dataset();
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assert_eq!(dataset.data.len(), 1797 * 64);
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assert_eq!(dataset.target.len(), 1797);
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assert_eq!(dataset.num_features, 64);
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assert_eq!(dataset.num_samples, 1797);
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}
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}
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