wehub-resource-sync
43 lines
1.5 KiB
Rust
43 lines
1.5 KiB
Rust
use crate::{diabetes_patient::DiabetesPatient, utils::download_csv_if_missing};
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use burn::data::dataset::{Dataset, InMemDataset};
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/// Diabetes patients dataset, also used in [scikit-learn](https://scikit-learn.org/stable/).
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/// See [Diabetes dataset](https://scikit-learn.org/stable/datasets/toy_dataset.html#diabetes-dataset).
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///
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/// The data is parsed from a single csv file (tab as the delimiter).
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/// The dataset contains 10 baseline variables (age, sex, body mass index, average blood pressure and
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/// 6 blood serum measurements for a total of 442 diabetes patients.
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/// For each patient, the response of interest, a quantitative measure of disease progression one year
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/// after baseline, was collected. This represents the target variable.
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pub struct DiabetesDataset {
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dataset: InMemDataset<DiabetesPatient>,
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}
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impl DiabetesDataset {
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pub fn new() -> Result<Self, std::io::Error> {
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// Download dataset csv file
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let path = download_csv_if_missing();
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// Build dataset from csv with tab ('\t') delimiter
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let mut rdr = csv::ReaderBuilder::new();
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let rdr = rdr.delimiter(b'\t');
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let dataset = InMemDataset::from_csv(path, rdr).unwrap();
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let dataset = Self { dataset };
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Ok(dataset)
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}
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}
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// Implement the `Dataset` trait which requires `get` and `len`
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impl Dataset<DiabetesPatient> for DiabetesDataset {
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fn get(&self, index: usize) -> Option<DiabetesPatient> {
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self.dataset.get(index)
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}
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fn len(&self) -> usize {
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self.dataset.len()
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}
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}
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