numhask-array: Multi-dimensional array interface for numhask.

[ bsd3, library, project ] [ Propose Tags ]

This package provides an interface into the numhask API, and both type- and value-level shape manipulation routines.

Usage

>>> {-# LANGUAGE NegativeLiterals #-}
>>> {-# LANGUAGE RebindableSyntax #-}
>>> import NumHask.Prelude
>>> import NumHask.Array

In situations where shape is only known at runtime, a clear module configuration is:

>>> import NumHask.Array.Shape
>>> import qualified NumHask.Array.Fixed as F
>>> import qualified NumHask.Array.Dynamic as D

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Versions [faq] 0.0.1, 0.0.2, 0.1.0.0, 0.1.1.0, 0.2.0.0, 0.2.0.1, 0.2.1.0, 0.3, 0.3.0.1, 0.4.0.0, 0.5.0.0, 0.5.1, 0.6.0, 0.7.0, 0.8.0
Dependencies adjunctions (>=4.0 && <5), base (>=4.11 && <5), deepseq (>=1.4.2.0 && <2), distributive (>=0.4 && <0.7), numhask (==0.7.*), vector (>=0.10 && <0.13) [details]
License BSD-3-Clause
Copyright Tony Day
Author Tony Day
Maintainer tonyday567@gmail.com
Category project
Home page https://github.com/tonyday567/numhask-array#readme
Bug tracker https://github.com/tonyday567/numhask-array/issues
Source repo head: git clone https://github.com/tonyday567/numhask-array
Uploaded by tonyday567 at 2020-11-23T22:49:10Z
Distributions NixOS:0.7.0
Downloads 4514 total (184 in the last 30 days)
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Status Hackage Matrix CI
Docs available [build log]
Last success reported on 2020-11-23 [all 1 reports]

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Readme for numhask-array-0.8.0

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numhask-array

Build Status Hackage

This package provides an interface into the numhask API, and both type and value level shape manipulation routines.

Usage

{-# LANGUAGE NegativeLiterals #-}
{-# LANGUAGE RebindableSyntax #-}
import NumHask.Prelude
import NumHask.Array

In situations where shape is only known at runtime, a clear module configuration is:

import NumHask.Array.Shape
import qualified NumHask.Array.Fixed as F
import qualified NumHask.Array.Dynamic as D

Performance

Performance experiments are located in numhask-bench. numhask-hmatrix provides a more performant and similar interface.