Question 1

How to install OML with opam for full functionality?

Accepted Answer

Run 'make setup' to install dependencies via opam, which includes Lacaml, LBFGS, and ocephes for Oml_full. This sets up the enhanced version with C/Fortran bindings, but note that it requires system-level libraries.

Question 2

OML vs Jane Street's Core for statistics in OCaml?

Accepted Answer

OML specializes in mathematical and statistical functions with optimization and linear algebra, while Core is a broader standard library. OML is better for numerical analysis, but Core might suffice for basic stats within a larger framework.

Question 3

Can OML handle machine learning tasks?

Accepted Answer

OML includes optimization routines like LBFGS bindings, which are useful for training models, but it doesn't provide full machine learning algorithms or deep learning frameworks. It's more suited for traditional statistical modeling.

Question 4

What testing tools does OML use and how to run them?

Accepted Answer

OML uses Kaputt for testing and Bisect_ppx for code coverage. Tests are in *.mlt files, and you can run them with 'make test' or target specific modules like 'make TEST=Descriptive test', as detailed in the README.

Question 5

Is OML suitable for real-time numerical simulations?

Accepted Answer

Due to OCaml's garbage collection and dependency on external libraries, OML might not be ideal for hard real-time systems where predictable, low-latency performance is critical. Benchmarks aren't provided, so testing in context is advised.

Question 6

How to contribute to OML development?

Accepted Answer

Contributions are welcome via GitHub issues for discussions and bug reports. The guideline is to favor readers and users, with an emphasis on simplicity and clarity in code, as mentioned in the README.

Oml

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