Using BayesNet with Conan

This document explains how to use Conan as an alternative package manager for BayesNet.

Prerequisites

pip install conan
conan remote add Cimmeria https://conan.rmontanana.es/artifactory/api/conan/Cimmeria
conan profile new default --detect

Quick Start

As a Consumer

Create a conanfile.txt in your project:

[requires]
libtorch/2.7.0
bayesnet/1.2.0

[generators]
CMakeDeps
CMakeToolchain

Install dependencies:
```
conan install . --build=missing
```

In your CMakeLists.txt:

find_package(bayesnet REQUIRED)
target_link_libraries(your_target bayesnet::bayesnet)

Building BayesNet with Conan

# Install dependencies
make conan-init

# Build debug version
make debug
make buildd

# Build release version
make release
make buildr

# Create package
make conan-create

Current Limitations

Custom dependencies (folding, fimdlp, arff-files) are not available in ConanCenter
These need to be built as custom Conan packages or replaced with alternatives
The conanfile.py currently comments out these dependencies

Creating Custom Dependency Packages

For the custom dependencies, you'll need to create Conan recipes:

folding: Cross-validation library
fimdlp: Discretization library
arff-files: ARFF file format parser

Contact the maintainer or create custom recipes for these packages.

Package Distribution

Once custom dependencies are resolved:

# Create and test package
make conan-create

# Upload to your remote
conan upload bayesnet/1.2.0 -r myremote

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