- Fixed the bug caused by a version of httpx for the openai api-dependant functions.
0.1.16
- Minor bug fixes due to dependency changes. Fixed issue that breaks installation on google colab. - Updated code for newest stable releases of transformers, pandas and sentence-transformers
0.1.15
- Static dependency versioning - sentence-transformers underwent a massive update, until we are able to catch up, we will default to previously supported versions.
0.1.14
- Bug Fixes
0.1.13
- Major Update : Allowed Online contrastive loss in model training with paired data with labels - Fixed the behaviour of the custom suffix feature in merge functions - Fixed an incorrect piece of preprocessing code for paired data with labels - we recommend training such models again for a substantial increase in performance - Allowed loss_type in the train_model args - "supcon" and "onlinecontrastive" - Made some changes in the linkage configs to allow loss params into the training args. loss_params is a dictionary containing "temperature" for supcon loss and "margin" for onlinecontrastive.
0.1.12
- Fixes in merge and classification inference to be in line with OpenAI API changes - Bug fixes in column serialisation when using open ai embeddings - Updated toml file to restrict by package versioning - forward compatibility would not be supported - Made merge with blocking faster - no longer needs loading the model for each block - All Linkage inference functions can now take in a LinkTransformer model (wrapper around SentenceTransformer) as input. This would be useful for workflows requiring looping; preventing repeated model loading. - More robust typing where it was lacking - Fixes in cluster functions and bringing them to the root directory