We are happy to announce NLU 1.0.3 has been released and comes with a lot new features, training classifiers, saving them and loading them offline, enabling running NLU with no internet connection, new notebooks and articles!
NLU 1.0.3 New Features
Train a Deep Learning classifier in 1 line! The popular ClassifierDL
which can achieve state of the art results on any multi class text classification problem is now trainable!
All it takes is just nlu.load('train.classifier).fit(dataset) . Your dataset can be a Pandas/Spark/Modin/Ray/Dask dataframe and needs to have a column named 'text" for text data and a column named 'y' for labels
Saving pipelines to HDD is now possible with nlu.save(path)
Loading pipelines from disk now possible with nlu.load(path=path).
NLU offline mode: Loading from disk makes running NLU offline now possible, since you can load pipelines/models from your local hard drive instead of John Snow Labs AWS servers.
1.0.3 Release Notes
We are happy to announce NLU 1.0.3 has been released and comes with a lot new features, training classifiers, saving them and loading them offline, enabling running NLU with no internet connection, new notebooks and articles!
NLU 1.0.3 New Features
NLU 1.0.3 New Notebooks and Tutorials
NLU 1.0.3 Bug fixes