Serializing SVC #297

Thanks for using smartcore 👍

could you provide a use case and a code example of what you are trying to do?

Yes. I'm following the User Guide under "Model persistence" at https://smartcorelib.org/user_guide/model_selection.html

In this code I fit the SVC and save it to file for later use. On loading the file, I get error:

thread 'main' panicked at C:\Users\nothi\.cargo\registry\src\index.crates.io-1949cf8c6b5b557f\smartcore-0.4.0\src\svm\svc.rs:349:26: called Option::unwrap()on aNonevalue

smartcore = { version = "0.4.0", features = ["datasets", "serde"] } serde = "1.0.115" bincode = "1.3.1"

` let matrix = from_dataframe_to_dense_matrix(df.clone(), false);
let matrix1 = from_dataframe_to_dense_matrix(df1.clone(), false);

let params = SVCParameters::default()
 .with_c(1.0)
 .with_kernel(Kernels::rbf().with_gamma(0.7));
let svc = SVC::fit(&matrix, &y_train_original, &params).expect("oh no");
// File name for the model
let file_name = "svcpre2024.model";
// Save the model
{
 let svc_bytes = bincode::serialize(&svc).expect("Can not serialize the model");
 File::create(file_name)
 .and_then(|mut f| f.write_all(&svc_bytes))
 .expect("Can not persist model");
}
// Load the model
let mut svc: SVC<f64, i32, DenseMatrix<f64>, Vec<i32>> = {
 let mut buf: Vec<u8> = Vec::new();
 File::open(&file_name)
 .and_then(|mut f| f.read_to_end(&mut buf))
 .expect("Can not load model");
 bincode::deserialize(&buf).expect("Can not deserialize the model")
};
let y_hat = svc.predict(&matrix1).unwrap();`

It seems this error persists on this branch as well. :(
smartcore = { git = "https://github.com/smartcorelib/smartcore", branch = "development", features = ["datasets", "serde"] }
called Option::unwrap()on aNone value

This seems to be relevant:

#[cfg_attr(feature = "serde", serde(skip))] parameters: Option<&'a SVCParameters<TX, TY, X, Y>>,

`#[cfg_attr(
 all(feature = "serde", target_arch = "wasm32"),
 serde(skip_serializing, skip_deserializing)
)]
pub kernel: Option<Box<dyn Kernel>>,`