linfa 0.8.1

A Machine Learning framework for Rust
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54

use super::{DatasetBase, Records};
use ndarray::{ArrayBase, Axis, Data, Dimension};

/// Implement records for NdArrays
impl<F, S: Data<Elem = F>, I: Dimension> Records for ArrayBase<S, I> {
    type Elem = F;

    fn nsamples(&self) -> usize {
        self.len_of(Axis(0))
    }

    fn nfeatures(&self) -> usize {
        self.len_of(Axis(1))
    }
}

/// Implement records for a DatasetBase
impl<F, D: Records<Elem = F>, T> Records for DatasetBase<D, T> {
    type Elem = F;

    fn nsamples(&self) -> usize {
        self.records.nsamples()
    }

    fn nfeatures(&self) -> usize {
        self.records.nfeatures()
    }
}

/// Implement records for an empty dataset
impl Records for () {
    type Elem = ();

    fn nsamples(&self) -> usize {
        0
    }

    fn nfeatures(&self) -> usize {
        0
    }
}

/// Implement records for references
impl<R: Records> Records for &R {
    type Elem = R::Elem;

    fn nsamples(&self) -> usize {
        (*self).nsamples()
    }

    fn nfeatures(&self) -> usize {
        (*self).nfeatures()
    }
}