Struct burn_core::data::dataset::InMemDataset
source · pub struct InMemDataset<I> { /* private fields */ }Expand description
Dataset where all items are stored in ram.
Implementations§
source§impl<I> InMemDataset<I>
impl<I> InMemDataset<I>
sourcepub fn new(items: Vec<I>) -> InMemDataset<I>
pub fn new(items: Vec<I>) -> InMemDataset<I>
Creates a new in memory dataset from the given items.
source§impl<I> InMemDataset<I>where
I: Clone + DeserializeOwned,
impl<I> InMemDataset<I>where
I: Clone + DeserializeOwned,
sourcepub fn from_dataset(dataset: &impl Dataset<I>) -> InMemDataset<I>
pub fn from_dataset(dataset: &impl Dataset<I>) -> InMemDataset<I>
Create from a dataset. All items are loaded in memory.
sourcepub fn from_json_rows<P>(path: P) -> Result<InMemDataset<I>, Error>
pub fn from_json_rows<P>(path: P) -> Result<InMemDataset<I>, Error>
Create from a json rows file (one json per line).
sourcepub fn from_csv<P>(
path: P,
builder: &ReaderBuilder
) -> Result<InMemDataset<I>, Error>
pub fn from_csv<P>( path: P, builder: &ReaderBuilder ) -> Result<InMemDataset<I>, Error>
Create from a csv file.
The provided csv::ReaderBuilder can be configured to fit your csv format.
The supported field types are: String, integer, float, and bool.
See:
Trait Implementations§
source§impl<I> Dataset<I> for InMemDataset<I>
impl<I> Dataset<I> for InMemDataset<I>
Auto Trait Implementations§
impl<I> RefUnwindSafe for InMemDataset<I>where
I: RefUnwindSafe,
impl<I> Send for InMemDataset<I>where
I: Send,
impl<I> Sync for InMemDataset<I>where
I: Sync,
impl<I> Unpin for InMemDataset<I>where
I: Unpin,
impl<I> UnwindSafe for InMemDataset<I>where
I: UnwindSafe,
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more