Merge branch 'develop'

CHANGELOG.md

@@ -6,6 +6,21 @@ Most recent releases are shown at the top. Each release shows:
 - **Changed**: Additional parameters, changes to inputs or outputs, etc
 - **Fixed**: Bug fixes that don't change documented behaviour
 
+## 0.19.4 (2020-08-10)
+
+### New:
+- N/A
+
+### Changed
+- `TextPreprocessor` instances now use `YTransform` class to transform targets
+- `texts_from_df`, `texts_from_csv`, and `texts_from_array` employ the use of either `YTransformDataFrame` or `YTransform`
+- `images_from_df`, `images_from_fname`, `images_from_csv`, and `imagas_from_array` use `YTransformDataFrame` or `YTransform`
+- Extra imports removed from PyTorch-based `zsl.core.ZeroShotClassifier` and `summarization.core.TransformerSummarizer`. If necessary, 
+   both can now be used without having TensorFlow installed by installing ktrain using `--no-deps` and importing these modules using 
+    a method like [this](https://stackoverflow.com/a/58423785).
+
+### Fixed:
+- N/A
 
 
 ## 0.19.3 (2020-08-05)

README.md

@@ -9,7 +9,7 @@
 ### News and Announcements
 - **2020-07-29:**  
   - ***ktrain*** **v0.19.x is released** and now includes support for "traditional" **tabular data** and **explainable AI for tabular predictions**.  See the [tutorial notebook on tabular models](https://nbviewer.jupyter.org/github/amaiya/ktrain/blob/develop/tutorials/tutorial-08-tabular_classification_and_regression.ipynb) for both:
-    - a classification example (using the Kaggle's Titanic passenger survival prediction dataset) 
+    - a classification example (using the Kaggle Titanic passenger survival prediction dataset) 
     - a regression example (using the UCI Adults census dataset for age prediction)
 - **2020-07-07:**  
   - ***ktrain*** **v0.18.x is released** and now includes support for TensorFlow 2.2.0. Due to various TensorFlow 2.2.0 bugs, TF 2.2.0 is only installed if Python 3.8 is being used.