pub type Dataset<D, T, I = Ix2> = DatasetBase<ArrayBase<OwnedRepr<D>, Ix2>, ArrayBase<OwnedRepr<T>, I>>;Expand description
Dataset
The most commonly used typed of dataset. It contains a number of records
stored as an Array2 and each record may correspond to multiple targets. The
targets are stored as an Array1 or Array2.
Implementations
sourceimpl<F, E, I: TargetDim> Dataset<F, E, I>
impl<F, E, I: TargetDim> Dataset<F, E, I>
sourcepub fn split_with_ratio(self, ratio: f32) -> (Self, Self)
pub fn split_with_ratio(self, ratio: f32) -> (Self, Self)
Split dataset into two disjoint chunks
This function splits the observations in a dataset into two disjoint chunks. The splitting
threshold is calculated with the ratio. If the input Dataset contains n samples then the
two new Datasets will have respectively n * ratio and n - (n*ratio) samples.
For example a ratio of 0.9 allocates 90% to the
first chunks and 10% to the second. This is often used in training, validation splitting
procedures.
Parameters
ratio: the ratio of samples in the input Dataset to include in the first output one
Returns
The input Dataset split into two according to the input ratio.
Panics
Panic occurs when the input record or targets are not in row-major layout.