haskell-ml 0.4.0 → 0.4.1

raw patch · 1 files changed

+23/−2 lines, 1 filesPVP ok

version bump matches the API change (PVP)

API changes (from Hackage documentation)

Files

• haskell-ml.cabal +23/−2

@@ -1,7 +1,28 @@ name:                haskell-ml-version:             0.4.0+version:             0.4.1 synopsis:            Machine learning in Haskell-description:         Machine learning in Haskell+description:         Provides a very simple implementation of deep (i.e. - multi-layer),+  fully connected (i.e. - _not_ convolutional) neural networks. Hides the type of the+  internal network structure from the client code, while still providing type safety,+  via existential type quantification and dependently typed programming techniques,+  ala Justin Le. (See [Justin's blog post](https://blog.jle.im/entry/practical-dependent-types-in-haskell-2.html).)++  The API offers a single network creation function: `randNet`, which allows the user+  to create a randomly initialized network of arbitrary internal structure by supplying+  a list of integers, each specifying the output width of one hidden layer in the network.+  (The input/output widths are determined automatically by the compiler, via type inference.)+  The type of the internal structure (i.e. - hidden layers) is existentially hidden, outside+  the API, which offers the following benefits:++  - Client generated networks of different internal structure may be stored in a common list+  (or, other Functorial data structure).++  - The exact structure of the network may be specified at run time, via: user input, file I/O, etc.,+  while still providing GHC enforced type safety, at compile time.++  - Complex networks with long training times may be stored, after being trained, so that they+  may be recalled and used again, at a later date/time, without having to re-train them.+ license:             BSD3 license-file:        LICENSE author:              David Banas