Explore the components folder to find the codebase of your interest. OmdenaLore follows a structured approach based on Machine learning and data processing domains. The repository offers a combination of a collaborator-sourced codebase, documentation, and knowledge base. Just install the library by using the command below and you are good to go.Ĭheck out the project on Pypi here. We don’t just claim it, we are available in the python package index ( ) so you can install OmdenaLore and speed up the development time of your projects right away. Using search in OmdenaLore documentation – Source: Omdena A well-packaged library With structured repositories and articles, this list of resources might “shoot” all of your troubles. Use the built-in search feature to sort through your interest and you’ll be in the land full of knowledge. With OmdenaLore documentation, you also get access to Omdena’s publicly available knowledge base. But what’s really new? It’s not just the looks, the documentation is collaborator-sourced, so you can learn from collaborators who faced the same challenges. So we designed the OmdenaLore documentation by resembling Wikipedia’s structure and coming with a standard Python library’s documentation theme to make you feel at home. You know that the documentations are sometimes non-intuitive and might feel incomplete. Let’s be honest, often we would spend hours googling solutions to fix an error rather than spending enough time on the documentation. Let’s dig deeper into what OmdenaLore has to offer! How you can use this Python library Intuitive Documentation This Python library is built and maintained collaboratively by the global AI community, thus making it more inclusively and ethically developed. We went on a mission to build OmdenaLore, an open-sourced data science package that provides comprehensive and ready-to-use Python classes and functions to solve almost any machine learning problem in an accelerated manner. Sounds imaginary, right? But that is exactly what OmdenaLore is. Imagine an open-source Python library, which allows you to build, within days, an end-to-end data science pipeline that is ready for production! Additionally, the library is not just a codebase but also a knowledge source helping in every stage of development while solving some of the world´s most challenging problems.
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