Merge pull request #11 from maxmekiska/development

added batch_size, tensor board support for evaluation and ci updates

.github/workflows/main.yml

@@ -19,4 +19,4 @@ jobs:
       - name: Install tox and any other packages
         run: pip install tox
       - name: Run tox
-        run: tox -e py
+        run: tox -e py

.gitignore

@@ -22,4 +22,4 @@ share/python-wheels/
 *.egg
 .tox
 env/
-.coverage
+.coverage

.pre-commit-config.yaml

@@ -0,0 +1,8 @@
+repos:
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v4.5.0
+    hooks:
+      - id: check-yaml
+      - id: detect-private-key
+      - id: end-of-file-fixer
+      - id: trailing-whitespace

CHANGELOG.md

@@ -89,12 +89,12 @@ activation function type
 - removed encoder-decoder architectures
 - improved layer configuration via dictionary input
 - split data argument into target and feature numpy arrays
- 
+
 ### 2.0.1
 
-- fix: removed dead pandas imports 
+- fix: removed dead pandas imports
 - chore: added tensorflow as base requirement
- 
+
 ### 2.1.0
 
 - feat!: removed data preparation out of predictor class, sub_seq, steps_past, steps_future need now to be defined in each model method
@@ -107,4 +107,12 @@ activation function type
 - chore!: removed python 3.8 support to accomodate tensorflow and keras dependiencies
 - chore: increased major to 3.0.0 to align with keras major
 - feat: added evaluate_model method to test model performance on test data
-- refactor!: removed validation split from `fit_model`. Control validation and test split via evaluation_split and validation_split paramters in class variables 
+- refactor!: removed validation split from `fit_model`. Control validation and test split via evaluation_split and validation_split paramters in class variables
+
+### 3.1.0
+
+- feat: added optional `batch_size` paramter to `fit_model`
+- feat: added Tensor Board to `evaluate_model`
+- refactor!: train, test, validation split default change
+- chore: added pre-commit checks
+- refactor: added, improved typing