This release includes a new STWFSA backend which is a wrapper around STWFSAPY, a lexical algorithm based on finite state automata. It achieves best results with short texts, i.e., titles and author keywords, and is best suited for English language data. The NN ensemble backend has been improved with better handling of source weights. Retraining NN ensemble models after updating Annif to this version is recommended, since the quality of results can decrease if old models are used. A new option for several CLI commands has been added: --docs-limit/-d option can be used to limit the number of documents to process, for example to create learning-curve data. Also several bugs have been fixed. New features: 438 Lexical STWFSAPY Backend (credit @m...
This is a patch release that fixes two bugs in the 0.43.0 release. There are also some additions to ...
This release brings a major upgrade of the fastText library, switching from the old fasttextmirror p...
This release brings improvements to command line functionality and many robustness enhancements. The...
This release includes a new MLLM backend which is a Python implementation of the Maui-like Lexical M...
This release includes improvements in training by reducing memory usage and adds the --cached option...
This release includes a new maui backend for integrating Annif with Maui Server, a REST service wrap...
This release includes a new trainable ensemble backend based on a neural network (nn_ensemble) and s...
This release adds a new --jobs parameter for the annif train command, which allows easy control of t...
This release includes a new language filtering feature. This input-transform filters out sentences o...
This release introduces a setting to use only a part of the input text for subject indexing: the new...
This release adds two new backends, YAKE and SVC. The YAKE backend is a wrapper around the YAKE libr...
This release brings support for running Annif within a Docker container, online API documentation pu...
This patch release includes the following changes: #506 Fix NN ensemble training and learning on on...
This release includes a new omikuji backend to support tree-based extreme multilabel classification ...
This release introduces the hyperopt CLI command for hyperparameter optimization. Initially it can o...
This is a patch release that fixes two bugs in the 0.43.0 release. There are also some additions to ...
This release brings a major upgrade of the fastText library, switching from the old fasttextmirror p...
This release brings improvements to command line functionality and many robustness enhancements. The...
This release includes a new MLLM backend which is a Python implementation of the Maui-like Lexical M...
This release includes improvements in training by reducing memory usage and adds the --cached option...
This release includes a new maui backend for integrating Annif with Maui Server, a REST service wrap...
This release includes a new trainable ensemble backend based on a neural network (nn_ensemble) and s...
This release adds a new --jobs parameter for the annif train command, which allows easy control of t...
This release includes a new language filtering feature. This input-transform filters out sentences o...
This release introduces a setting to use only a part of the input text for subject indexing: the new...
This release adds two new backends, YAKE and SVC. The YAKE backend is a wrapper around the YAKE libr...
This release brings support for running Annif within a Docker container, online API documentation pu...
This patch release includes the following changes: #506 Fix NN ensemble training and learning on on...
This release includes a new omikuji backend to support tree-based extreme multilabel classification ...
This release introduces the hyperopt CLI command for hyperparameter optimization. Initially it can o...
This is a patch release that fixes two bugs in the 0.43.0 release. There are also some additions to ...
This release brings a major upgrade of the fastText library, switching from the old fasttextmirror p...
This release brings improvements to command line functionality and many robustness enhancements. The...