[Caml-list] [ANN] first release of orsvm-e1071 (SVM from R usable from OCaml)

[Caml-list] [ANN] first release of orsvm-e1071 (SVM from R usable from OCaml)

[Francois BERENGER]

Hello,

I created a thin OCaml wrapper to drive two famous SVM packages for R:
e1071 and svmpath.

The code is here:
https://github.com/UnixJunkie/orsvm-e1071

This package provides two modules:
- Svm: this one provides access to a Support Vector Machine
       with a Radial Basis Function (RBF) or a linear kernel.
       This is a binary classifier.
---
type gamma = float
type kernel = RBF of gamma
            | Linear
type filename = string

val train: ?debug:bool ->
  cost:float -> kernel -> filename -> filename -> Result.t
val predict: ?debug:bool -> Result.t -> filename -> Result.t
val read_predictions: Result.t -> float list
---

- Svmpath: this one provides only access to a SVM with a linear
           kernel, but it allows to quickly find all values
           that need to be tested to obtain the best classifier.
           This is also a binary classifier.
---
type filename = string

val train: ?debug:bool -> filename -> filename -> Result.t
val read_lambdas: ?debug:bool -> Result.t -> float list
val predict: ?debug:bool ->
  lambda:float -> Result.t -> filename -> Result.t
val read_predictions: Result.t -> float list
---

The file src/test.ml is a working example of all functionalities.

There are example data and label files under data/.

I don't claim the package is super efficient.
For example, data are exchanged via text files.
However, it is a proof of concept on how to quickly access
some functionality provided by an R package.

If you want the package to be more efficient or provide access to more
functionalities of the underlying R packages, your help is welcome.

Thanks to Ronan Lehy for help with understanding how to use the svmpath
package.

The corresponding package should appear soon in opam.

Regards,
F.

[Caml-list] [ANN] first release of orxgboost (gradient-boosted trees from R usable in OCaml)

[Francois BERENGER]

Hello,

I created a thin wrapper around the xgboost R package.

The code is here:
https://github.com/UnixJunkie/orxgboost

The interface is close to my precedent SVM package (orsvm-e1071).

Background:
https://en.wikipedia.org/wiki/Gradient_boosting

Paper:
Chen, Tianqi, and Carlos Guestrin.
"Xgboost: A scalable tree boosting system."
Proceedings of KDD'16. ACM, 2016.
DOI: 10.1145/2939672.2939785.

Regards,
F.

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