pub struct AsRecords<'a, I, T> { /* private fields */ }Expand description
A wrapper around another iterator of record data and a history for that iterator’s data that iterates though each element in the iterator as a Record instead.
The main purpose of this representation is to allow manipulating one or more RecordContainers as iterators of Records then collect the iterator back into a RecordContainer so containers of Records with a shared history don’t have to store the history for each element but the richer Record API can be used for operations anyway.
use easy_ml::differentiation::{WengertList, Record, RecordTensor};
use easy_ml::tensors::Tensor;
use easy_ml::numeric::extra::Real;
let history = WengertList::new();
let A = RecordTensor::variables(
&history,
Tensor::from_fn([("r", 3), ("c", 2)], |[r, c]| ((5 * r) + c) as f32)
);
let B = RecordTensor::variables(
&history,
Tensor::from([("x", 6)], vec![ 0.2, 0.1, 0.5, 0.3, 0.7, 0.9 ])
);
fn power<T: Real+ Copy>(x: T, y: T) -> T {
x.pow(y)
}
let result: RecordTensor<_, _, 2> = RecordTensor::from_iter(
A.shape(),
// iterators of records don't need to have matching shapes as long as the number
// of elements matches the final shape
A.iter_as_records().zip(B.iter_as_records()).map(|(x, y)| power(x, y))
).expect("result should have 6 elements");Implementations§
Source§impl<'a, 'b, T, S, const D: usize> AsRecords<'a, TensorIterator<'b, (T, Index), RecordTensor<'a, T, S, D>, D>, T>
AsRecords can be created from a RecordTensor to manipulate the data as an iterator of Records
then streamed back into a RecordTensor with from_iter
impl<'a, 'b, T, S, const D: usize> AsRecords<'a, TensorIterator<'b, (T, Index), RecordTensor<'a, T, S, D>, D>, T>
AsRecords can be created from a RecordTensor to manipulate the data as an iterator of Records then streamed back into a RecordTensor with from_iter
use easy_ml::differentiation::{WengertList, Record, RecordTensor};
use easy_ml::tensors::Tensor;
let history = WengertList::new();
let X = RecordTensor::constants(
Tensor::from_fn([("r", 2), ("c", 2)], |[r, c]| (r + c) as f32)
);
let y = Record::variable(1.0, &history);
let result = RecordTensor::from_iter(
[("r", 2), ("c", 2)],
// Here we create each variable z from the constant in X and the variable y.
// If we just did X + 1.0 we'd still have only constants, and we can't do X + y
// directly because those traits aren't implemented.
X.iter_as_records().map(|x| x + y)
);
// we can unwrap here because we know the iterator still contains 4 elements and they all
// have the same WengertList so we can convert back to a RecordTensor (which is now
// variables instead of constants)
let Z = result.unwrap();
let Z_indexing = Z.index();
assert_eq!(1.0, Z_indexing.get([0, 0]).0);
assert_eq!(2.0, Z_indexing.get([0, 1]).0);
assert_eq!(3.0, Z_indexing.get([1, 1]).0);Sourcepub fn from_tensor(tensor: &'b RecordTensor<'a, T, S, D>) -> Self
pub fn from_tensor(tensor: &'b RecordTensor<'a, T, S, D>) -> Self
Given a record tensor returns an iterator of Records
use easy_ml::differentiation::{WengertList, Record, RecordTensor};
use easy_ml::differentiation::iterators::AsRecords;
use easy_ml::tensors::Tensor;
let history = WengertList::new();
let X = RecordTensor::variables(
&history,
Tensor::from_fn([("r", 2), ("c", 2)], |[r, c]| (r + c) as f32)
);
let iter = X.iter_as_records(); // shorthand helper method
let also_iter = AsRecords::from_tensor(&X);Source§impl<'a, 'b, T, S> AsRecords<'a, RowMajorIterator<'b, (T, Index), RecordMatrix<'a, T, S>>, T>
AsRecords can be created from a RecordMatrix to manipulate the data as an iterator of Records
then streamed back into a RecordMatrix with from_iter
impl<'a, 'b, T, S> AsRecords<'a, RowMajorIterator<'b, (T, Index), RecordMatrix<'a, T, S>>, T>
AsRecords can be created from a RecordMatrix to manipulate the data as an iterator of Records then streamed back into a RecordMatrix with from_iter
use easy_ml::differentiation::{WengertList, Record, RecordMatrix};
use easy_ml::matrices::Matrix;
let history = WengertList::new();
let X = RecordMatrix::constants(
Matrix::from_fn((2, 2), |(r, c)| (r + c) as f32)
);
let y = Record::variable(1.0, &history);
let result = RecordMatrix::from_iter(
(2, 2),
// Here we create each variable z from the constant in X and the variable y.
// If we just did X + 1.0 we'd still have only constants, and we can't do X + y
// directly because those traits aren't implemented.
X.iter_row_major_as_records().map(|x| x + y)
);
// we can unwrap here because we know the iterator still contains 4 elements and they all
// have the same WengertList so we can convert back to a RecordMatrix (which is now
// variables instead of constants)
let Z = result.unwrap();
let Z_view = Z.view();
assert_eq!(1.0, Z_view.get(0, 0).0);
assert_eq!(2.0, Z_view.get(0, 1).0);
assert_eq!(3.0, Z_view.get(1, 1).0);Sourcepub fn from_matrix_row_major(matrix: &'b RecordMatrix<'a, T, S>) -> Self
pub fn from_matrix_row_major(matrix: &'b RecordMatrix<'a, T, S>) -> Self
Given a record matrix returns a row major iterator of Records
use easy_ml::differentiation::{WengertList, Record, RecordMatrix};
use easy_ml::differentiation::iterators::AsRecords;
use easy_ml::matrices::Matrix;
let history = WengertList::new();
let X = RecordMatrix::variables(
&history,
Matrix::from_fn((2, 2), |(r, c)| (r + c) as f32)
);
let iter = X.iter_row_major_as_records(); // shorthand helper method
let also_iter = AsRecords::from_matrix_row_major(&X);Source§impl<'a, 'b, T, S> AsRecords<'a, ColumnMajorIterator<'b, (T, Index), RecordMatrix<'a, T, S>>, T>
impl<'a, 'b, T, S> AsRecords<'a, ColumnMajorIterator<'b, (T, Index), RecordMatrix<'a, T, S>>, T>
Sourcepub fn from_matrix_column_major(matrix: &'b RecordMatrix<'a, T, S>) -> Self
pub fn from_matrix_column_major(matrix: &'b RecordMatrix<'a, T, S>) -> Self
Given a record matrix returns a column major iterator of Records
Source§impl<'a, I, T> AsRecords<'a, I, T>
impl<'a, I, T> AsRecords<'a, I, T>
Sourcepub fn from(history: Option<&'a WengertList<T>>, numbers: I) -> Self
pub fn from(history: Option<&'a WengertList<T>>, numbers: I) -> Self
Given the WengertList an iterator of record numbers are for, returns an iterator of Records
The inputs are not checked for validity. It is possible to pass in the wrong Wengert list here or even numbers with indexes that aren’t tracked on the WengertList.
Where possible, consider using from_tensor, from_matrix_row_major or from_matrix_column_major instead.
Source§impl<'a, I, T> AsRecords<'a, I, T>
impl<'a, I, T> AsRecords<'a, I, T>
Sourcepub fn with_index(self) -> WithIndex<AsRecords<'a, WithIndex<I>, T>> ⓘ
pub fn with_index(self) -> WithIndex<AsRecords<'a, WithIndex<I>, T>> ⓘ
An iterator of Records that is created from an iterator which can provide the index for each element can also be coverted to a WithIndex iterator and provide the index for each record.
WithIndex appears twice in the return type because the original iterator itself is wrapped in WithIndex to create an iterator that provides indexes, and AsRecords must also be wrapped in WithIndex to implement the iterator trait with indexes from the original iterator’s implementation.
use easy_ml::differentiation::{WengertList, Record, RecordTensor};
use easy_ml::tensors::Tensor;
let history = WengertList::new();
let X = RecordTensor::variables(
&history,
Tensor::from([("r", 2), ("c", 2)], vec![ 0.5, 1.5, 2.5, 3.5 ])
);
let Y = RecordTensor::from_iter(
[("r", 2), ("c", 2)],
// Most Easy ML matrix and tensor iterators implement Into<WithIndex<Self>>, so we can
// call with_index after creating the iterator
X.iter_as_records().with_index().map(|([r, c], x)| x + ((r + (2 * c)) as f32))
).unwrap(); // we can unwrap here because we know the iterator is still 4 elements
// so matches the shape and we added constants to each Record element so the history
// is still consistent
assert_eq!(
Tensor::from([("r", 2), ("c", 2)], vec![ 0.5, 3.5, 3.5, 6.5 ]),
Y.view().map(|(x, _)| x)
);Source§impl<'a, I, O, T> AsRecords<'a, I, T>
impl<'a, I, O, T> AsRecords<'a, I, T>
Sourcepub fn from_with_index(history: Option<&'a WengertList<T>>, numbers: I) -> Self
pub fn from_with_index(history: Option<&'a WengertList<T>>, numbers: I) -> Self
Given the WengertList an iterator of indexes and record numbers are for, returns an iterator of indexes and Records
The inputs are not checked for validity. It is possible to pass in the wrong Wengert list here or even numbers with indexes that aren’t tracked on the WengertList.
Where possible, consider using with_index on an existing iterator instead.
Trait Implementations§
Source§impl<'a, I, T> ExactSizeIterator for AsRecords<'a, I, T>
impl<'a, I, T> ExactSizeIterator for AsRecords<'a, I, T>
Source§impl<'a, I, T> Iterator for AsRecords<'a, I, T>
AsRecords is an iterator of Records, merging the history together with each iterator
element.
impl<'a, I, T> Iterator for AsRecords<'a, I, T>
AsRecords is an iterator of Records, merging the history together with each iterator element.
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