[skip actions] update history for next release

Author: manujosephv

docs/history.md

@@ -1,48 +1,11 @@
 # History
 
-## 0.0.1 (2021-01-26)
-
-- First release on PyPI.
-
-## 0.2.0 (2021-02-07)
-
-- Fixed an issue with torch.clip and torch version
-- Fixed an issue with `gpus` parameter in TrainerConfig, by setting default value to `None` for CPU
-- Added feature to use custom sampler in the training dataloader
-- Updated documentation and added a new tutorial for imbalanced classification
-
-## 0.3.0 (2021-03-02)
-
-- Fixed a bug on inference
-
-## 0.4.0 (2021-03-18)
-
-- Added AutoInt Model
-- Added Mixture Density Networks
-- Refactored the classes to separate backbones from the head of the models
-- Changed the saving and loading model to work for custom parameters that you pass in `fit`
+## 1.0.1 (2023-01-20)
 
-## 0.5.0 (2021-03-18)
+- Bugfix for default metric for binary classification
 
-- Added more documentation
-- Added Zenodo citation
 
-## 0.6.0 (2021-06-21)
 
-- Upgraded versions of PyTorch Lightning to 1.3.6
-- Changed the way `gpus` parameter is handled to avoid confusion. `None` is CPU, `-1` is all GPUs, `int` is number of GPUs
-- Added a few more Trainer Params like `deterministic`, `auto_select_gpus`
-- Some bug fixes and changes to docs
-- Added `seed_everything` to the fit method to ensure reproducibility
-- Refactored data_aware_initialization to be part of the BaseModel. Inherited Models can override the method to implement data aware initialization techniques
-
-## 0.7.0 (2021-09-01)
-
-- Implemented TabTransformer and FTTransformer models
-- Included capability to save a model using GPU an load in CPU
-- Made the temp folder pytorch tabular specific to avoid conflicts with other tmp folders.
-- Some bug fixes
-- Edited an error out of Advanced Tutorial in docs
 
 ## 1.0.0 (2023-01-18)
 
@@ -71,3 +34,47 @@
 - Many CI/CD improvements including complete integration with GitHub Actions.
 - Upgraded all dependencies, including PyTorch Lightning, pandas, to latest versions and added dependabot to manage it going forward.
 - Added pre-commit to ensure code integrity and standardization.
+
+## 0.7.0 (2021-09-01)
+
+- Implemented TabTransformer and FTTransformer models
+- Included capability to save a model using GPU an load in CPU
+- Made the temp folder pytorch tabular specific to avoid conflicts with other tmp folders.
+- Some bug fixes
+- Edited an error out of Advanced Tutorial in docs
+
+## 0.6.0 (2021-06-21)
+
+- Upgraded versions of PyTorch Lightning to 1.3.6
+- Changed the way `gpus` parameter is handled to avoid confusion. `None` is CPU, `-1` is all GPUs, `int` is number of GPUs
+- Added a few more Trainer Params like `deterministic`, `auto_select_gpus`
+- Some bug fixes and changes to docs
+- Added `seed_everything` to the fit method to ensure reproducibility
+- Refactored data_aware_initialization to be part of the BaseModel. Inherited Models can override the method to implement data aware initialization techniques
+
+## 0.5.0 (2021-03-18)
+
+- Added more documentation
+- Added Zenodo citation
+
+## 0.4.0 (2021-03-18)
+
+- Added AutoInt Model
+- Added Mixture Density Networks
+- Refactored the classes to separate backbones from the head of the models
+- Changed the saving and loading model to work for custom parameters that you pass in `fit`
+
+## 0.3.0 (2021-03-02)
+
+- Fixed a bug on inference
+
+## 0.2.0 (2021-02-07)
+
+- Fixed an issue with torch.clip and torch version
+- Fixed an issue with `gpus` parameter in TrainerConfig, by setting default value to `None` for CPU
+- Added feature to use custom sampler in the training dataloader
+- Updated documentation and added a new tutorial for imbalanced classification
+
+## 0.0.1 (2021-01-26)
+
+- First release on PyPI.