Changed: - changed pandas dependency to `>=1.0.1` due to bug in pandas 1.0
Fixed: - N/A
0.9.3
New: - N/A
Changed: - Transformed data containers for transformers, NER, and graph -node classification to be instances of `ktrain.data.Dataset`.
Fixed: - fixed `images_from_array` so that y labels are correctly 1-hot-encoded when necessary - correct tokenization for `bert-base-japanese` Transformer models from PR 57
0.9.2
New: - N/A
Changed: - Removed Exception when `distilbert` is selected in `text_classifier` for non-English language after [Hugging Face fixed the reported bug](https://github.com/huggingface/transformers/issues/2462).
Fixed: - XLNet models like `xlnet-base-cased` now works after casting input arrays to `int32` - modified `TextPredictor.explain` to propogate correct error message from `eli5` for multilabel text classification.
0.9.1
New: - N/A
Changed: - N/A
Fixed: - fixed `utils.nclasses_from_data` for `ktrain.Dataset` instances - prevent `detect_lang` failing when Pandas Series is supplied
0.9.0
New: - support for out-of-the-box text regression in both the `Transformer` API and conventional API (i.e., `text.text_regression_model`).
Changed: - `text.TextPreprocessor` prints sequence length statistics
Fixed: - auto-detect language when using `Transformer` class to prevent printing `en` as default
0.8.3
New: - N/A
Changed: - `MultiArrayDataset` accepts list of Numpy arrays
Fixed: - fixed incorrect activation in `TextPredictor` for multi-label Transformer models - fixed `top_losses` for regression tasks