a framework for Automated Classification of Medical Images
7b88203 - Architecture: added ConvNeXt 3D architectures (commit by @muellerdo)
2cfec6e - Architecture: integrated ConvNeXt 3D architectures into AUCMEDI environment (commit by @muellerdo)
cb41966 - added multi-modality support (commit by @muellerdo)
5fd029c - sitk_loader: allow more dynamic resampling in terms of multi-modality (commit by @muellerdo)
979a660 - Architectures: removed 2D ResNeXt image architecture support (commit by @muellerdo)
76866a9 - Architecture: added 2D ResNeXt (50 & 101), again... (commit by @muellerdo)
a7e335c - Ensemble: fixed incorrect callback extension (commit by @muellerdo)
78b3078 - classes parameter (np.array) (commit by @Sassy-Nazogram)
f6945b8 - Evaluation: changed datatype from float to object for ROC multi-lists (commit by @muellerdo)
6d0df6a - Evaluation: replaced np.object with object due to deprecated (commit by @muellerdo)
8cb896f - Evaluation: specified groupby column to be consistent with pandas 2.X (commit by @muellerdo)
4530bb9 - AutoML: added Tensorflow Addons F1 to AutoML train again (commit by @muellerdo)
e5940db - Tutorials: reverted to TF addons F1 metric in the tutorials (commit by @muellerdo)
c2ce77b - Architecture: added unittesting for ConvNeXt 3D (commit by @muellerdo)
7549dc8 - unittesting for 3D multi-modality data loading (commit by @muellerdo)
4414024 - sitk_loader: improved unittesting for resampling of multi-modality nii/mha volumes (commit by @muellerdo)
800713b - increased package version 3D-classification-models to 1.0.7 (commit by @muellerdo)
4caf08d - Updated to version 0.8.2 (commit by @muellerdo)
7750c96 - Tensorflow: incrased package version to 2.11.1 (commit by @muellerdo)
8837e06 - Tensorflow-Addons: removed TF-addon and keras-applications support (commit by @muellerdo)
2ce29b2 - updated dependency list (commit by @muellerdo)
8b7da52 - Python: dropped Python3.8 for CI and added 3.9 & 3.10 (commit by @muellerdo)
6cbe6e9 - Python: removed Python 3.12 again from CI as there is no TF1.4 support there (commit by @muellerdo)
2de4ba3 - Tensorflow-Addons: added TFaddons back due to requirements for Keras ViT.. (commit by @muellerdo)
fc11a51 - Keras-Applications: added also back Keras Applications (and 2D ResNeXt) as classification-models-3D require it... (commit by @muellerdo)
6990dd5 - Python: converted python version to strings to be 3.10 instead of 3.1 (commit by @muellerdo)
7152f87 - plotnine: upgraded plotnine to version 0.12.0 (commit by @muellerdo)
5db39c1 - plotnine: fixed version to 0.12.4 (commit by @muellerdo)
c48c4c9 - scikit: updated scikit-learn & scikit-image (commit by @muellerdo)
ba40783 - Pillow: updated Pillow to 10.2.0 for security (commit by @muellerdo)
da8c660 - updated to version 0.9.0 (commit by @muellerdo)
812bb88 - Tutorials: fixed incorrect link - solves #200 (commit by @muellerdo)
2e8f2a9 - DataGenerator: rework deprecated keras.Iterator to keras.Sequence - Closes #76,#189 (commit by @muellerdo)
8f1a2e8 - Evaluation: updated deprecated np.int to np.int8 for boolean to integer matrix conversion (commit by @muellerdo)
c70fc4c - NeuralNetwork: testing for repeatition capabilities in datagenerators (commit by @muellerdo)
5568cfa - DataGenerator: added iteration & repetition testing as well as batch access (commit by @muellerdo)
c27c7f1 - Codecov: added config file with threshold of 1% (commit by @muellerdo)
dc264bf - Updated to version 0.8.0 (commit by @muellerdo)
973ff46 - README: fixed package build status badge (commit by @muellerdo)
due to b38dd6d - updated various package versions (commit by @muellerdo):
updated various package versions
82c3e3d - Architecture: added ConvNeXt - closes #101 (commit by @muellerdo)
5d94fbe - Architecture: added ConvNeXt to architecture library (commit by @muellerdo)
b379dc2 - Architecture: added unittesting for ConvNeXt (commit by @muellerdo)
34dc3ca - TensorFlow: increased tensorflow to at least v2.10 (commit by @muellerdo)
b38dd6d - updated various package versions (commit by @muellerdo)
d089d88 - TensorFlow-Addons: fixed typo in version (commit by @muellerdo)
efb6297 - Updated to version 0.7.3 (commit by @muellerdo)
1e96578 - Example: removed template pipeline of standardized framework example (commit by @muellerdo)
6985b72 - Example: added link to Medium blog article (commit by @muellerdo)
a3781fa - Example: added manuscripts to framework examples (commit by @muellerdo)
e867b34 - Reference: added ref to application preprint paper (commit by @muellerdo)
dbbdbd6 - PRs: added code quality CI to PRs targeting master (commit by @muellerdo)
0da9e1b - protobuf: increased to v3.20.2 as security update (commit by @muellerdo)
41cc227 - matplotlib: maxed to v3.5.3 due to plotnine dependency (commit by @muellerdo)
73304f7 - Updated to version 0.7.2 (commit by @muellerdo)
5405268 - Website: fixed a typo in the status bar (roadmap) (commit by @muellerdo)
f3c3186 - Classifier: enhanced the example in the API ref (commit by @muellerdo)
1b0a51f - add links and fix example (commit by @SherlockMones)
90e4651 - fix links (commit by @SherlockMones)
f555fce - stacking: fix example (commit by @SherlockMones)
0250281 - Example: added multiple API examples and tutorials (commit by @muellerdo)
f02195e - Evaluation: added show option for dataset evaluation plots (commit by @muellerdo)
976369a - Evaluation: fix incorrect AUC computation - closes #165 (commit by @muellerdo)
cbe64f9 - Evaluation: add non-complete data support for confusion matrix - closes #167 (commit by @muellerdo)
81173d3 - XAI: replace separator chars with . for xai_decoder result saving - fixes #169 (commit by @muellerdo)
ed10587 - Evaluation: added edge case support of non-complete data for confusion matrix (commit by @muellerdo)
c6dae5d - XAI: added test for xai_decoder with directory interface (commit by @muellerdo)
abb5601 - updated to version 0.7.1 (commit by @muellerdo)
168c1e2 - Various updates in README and addition of tutorial placeholder on website (commit by @muellerdo)
96bca31 - README: removed getting started chapter title artefact (commit by @muellerdo)
5d336f4 - Subfunctions: removed artefact init docs of ABC (commit by @muellerdo)
173b529 - XAI: added return docs for xai_decoder - closes #143 (commit by @muellerdo)
96765ed - Contributing: enhanced contributing guideline (commit by @muellerdo)
21323b5 - Ensemble: Implemented Composite (cross-validation based stacking) (commit by @muellerdo)
20f61f4 - AutoML: Implemented function block - training (commit by @muellerdo)
099e105 - AutoML: Added multilabel support for function block training (commit by @muellerdo)
74fcfbd - AutoML: added metadata storing in training block (commit by @muellerdo)
5fab10a - AutoML: Implemented function block prediction (commit by @muellerdo)
2a2e9e9 - AutoML: Implemented XAI option in code block inference (commit by @muellerdo)
5b4c095 - Evaluation: added support for transfer learning in fitting evaluation (commit by @muellerdo)
47aff85 - AutoML: added evaluation plot generation in block function training (commit by @muellerdo)
fad6f2d - AutoML: implemented block function evaluation (commit by @muellerdo)
f7ccf82 - AutoML: Added CLI parser for Training (commit by @muellerdo)
c521785 - AutoML: added CLI interface for YAML (commit by @muellerdo)
0b52a90 - AutoML: added CLI interface for prediction (commit by @muellerdo)
6a54157 - AutoML: added CLI interface for evaluation (commit by @muellerdo)
2f90edd - AutoML: added more sanity checks to evaluation function block (commit by @muellerdo)
7f66f48 - performance: add display option for charts (commit by @SherlockMones)
87ae17a - io_interfaces: add file extension to index_list (commit by @SherlockMones)
2d563b0 - AutoML: added binary packaging via entry script (commit by @muellerdo)
2c5ac70 - data_processing: Improve documentation (commit by @SherlockMones)
3566791 - AutoML: reworked AutoML CLI arguments - closes #151 (commit by @muellerdo)
96c8d44 - AutoML: dockerized AUCMEDI AutoML - closes #150 (commit by @muellerdo)
c53819f - evaluation: display fitting progress (commit by @SherlockMones)
4711894 - Evaluation: added full transfer learning support for fitting evaluation - closes #157 (commit by @muellerdo)
cbc2510 - Stacking: added automated standardize and resize parameter estimation for DataGenerator (commit by @muellerdo)
ea04aad - Ensemble: Added missing library import in Stacking & Bagging (commit by @muellerdo)
cc53a57 - AutoML: changed incorrect grayscale parameter of DataGenerator in training function block (commit by @muellerdo)
8b973d2 - AutoML: some hotfixes for AutoML XAI support (commit by @muellerdo)
7c78357 - AutoML: incorrect output path as directory creation (commit by @muellerdo)
4a23572 - AutoML: added more config parsing for CLI (3D shape, input and output path) (commit by @muellerdo)
c31355d - Evaluation: catch no-possible AUROC computation (commit by @muellerdo)
f4b165c - AutoML: fixed multiple architecture passing for advanced training (commit by @muellerdo)
6729798 - Evaluation: fixed unequal length of training epochs by multi model pipelines (commit by @muellerdo)
c5f9712 - AutoML: forget to exluce yaml parser function in main runner (commit by @muellerdo)
05169cf - XAI: added missing inverse of occlusion sensitivity heatmap (commit by @muellerdo)
87e3f9d - evaluation: fix evaluate training charts (commit by @SherlockMones)
e474282 - Evaluation: added support for only transfer learning epochs in evaluate_fitting() (commit by @muellerdo)
c79110f - Ensemble: Replaced python built-in multiprocessing to pathos multiprocessing (commit by @muellerdo)
816fea3 - Ensemble: Re-initialize NeuralNetworks in processes to allow custom loss functions (commit by @muellerdo)
ab6c0bc - Ensemble: allow dumping of ensemble output into already existing directories (commit by @muellerdo)
d3988a5 - AutoML: Various improvements of the function block training (commit by @muellerdo)
e5b8ae2 - AutoML: added sanity checks for multi_label supported metalearners (commit by @muellerdo)
2b9b355 - Evaluation: call explicit categorical parsing of class names for omnious class names (numbers) (commit by @muellerdo)
834799e - AutoML: switched csvlogger to append mode (commit by @muellerdo)
850a6a1 - AutoML: adjusted training hyperparameters of early stopping & dynamicLR (commit by @muellerdo)
e3fe4ff - AutoML: increased batch size from 12 to 24 (commit by @muellerdo)
3db0252 - AutoML: increased sensitivity for help page hook (commit by @muellerdo)
2dea1e1 - NeuralNetwork: increased default number of transfer learning epochs to 10 (commit by @muellerdo)
dfea756 - AutoML: Changed analysis name from composite to advanced (commit by @muellerdo)
43ccaa1 - AutoML: Removed data augmentation option from config (commit by @muellerdo)
cca63ad - AutoML: renamed attribute 'two_dim' to 'three_dim' (commit by @muellerdo)
b400348 - AutoML: Introduced new AutoML submodule structure (commit by @muellerdo)
e228403 - AutoML: refactored AutoML script structure (commit by @muellerdo)
4a22ed0 - AutoML: added empty script file for yaml parser (commit by @muellerdo)
97adf14 - AutoML: separated main method and runner of AutoML main (commit by @muellerdo)
c9eae04 - Ensemble: Added unittesting for Composite (commit by @muellerdo)
d9b7e58 - Ensemble: removed remaining debugging prints (commit by @muellerdo)
3657ac5 - AutoML: added unittesting for AutoML function block training (commit by @muellerdo)
173d235 - AutoML: Updated some class names and docs (commit by @muellerdo)
6f00ca2 - AutoML: Added unittesting for function block prediction (commit by @muellerdo)
2024f9a - AutoML: Added tests for XAI (commit by @muellerdo)
d350858 - AutoML: added unittesting for block function evaluation (commit by @muellerdo)
7733e34 - AutoML: added unittesting for CLI (commit by @muellerdo)
a44bf25 - AutoML: removed no argument testing (commit by @muellerdo)
9e75baf - Evaluation: added unittesting for only transfer learning fitting_evaluate() (commit by @muellerdo)
0f068aa - AutoML: test CLI only for build Action (commit by @muellerdo)
018aed8 - Added pathos as dependency (commit by @muellerdo)
1a76950 - AutoML: fixed a typo in docker release (commit by @muellerdo)
f0128d4 - Security: updated Pillow & Tensorflow version (commit by @muellerdo)
4e5da31 - CodeQuality: changed codecov coverage from requirements to setup build (commit by @muellerdo)
d0504ac - Updated to version 0.7.0 (commit by @muellerdo)
6183d72 - Website: Modified relatives pathes of Home page for gh-pages (commit by @muellerdo)
5fcf2fe - Website: fixes contribution image on website (commit by @muellerdo)
7787ff8 - Reference: added Zenodo link (commit by @muellerdo)
5e9041d - PyPI-README: Fixed broken link of logo (commit by @muellerdo)
3049080 - Website: fixed incorrect getting started link from README (commit by @muellerdo)
e9f160e - Website: added site_url to mkdocs.yml - fixes broken 404 pages (commit by @muellerdo)
b72e728 - Website: Moved workflow figure to separate nav tab (commit by @muellerdo)
8c3408e - Evaluate: Fix incorrect example in Comparison (commit by @muellerdo)
0fdab3a - Reference: Added ORCID for Simone Mayer (commit by @muellerdo)
1edb7fb - AutoML: fixed incorrect comment in training block function (commit by @muellerdo)
4ed4995 - AutoML: Added docstrings to train and predict function blocks (commit by @muellerdo)
4522abe - AutoML: improved cli help documentation for prediction (commit by @muellerdo)
1b8f2bd - DataGenerator: enhanced warning info of passing expected DataGenerator parameters (commit by @muellerdo)
8ecce74 - DataGenerator: added passing of model meta parameters to DataGenerator examples - closes #149 (commit by @muellerdo)
2d3a589 - AutoML: added documentation base structure for AutoML (commit by @muellerdo)
faf7d26 - README: Updated README quick start example (commit by @muellerdo)
1604fa1 - AutoML: started on AutoML quick start docs (commit by @muellerdo)
333677d - AutoML: added AutoML Quick Start & updated framework Quick Start (commit by @muellerdo)
fcebb7b - AutoML: refactoring AutoML docs structure (commit by @muellerdo)
045c1c9 - Roadmap: updated status by adding AutoML support (commit by @muellerdo)
fbffc3b - AutoML: updated installation docs (commit by @muellerdo)
75b724d - AutoML: added Dataset description for AutoML (commit by @muellerdo)
07debab - AutoML: fixed a broken image link in AutoML Dataset (commit by @muellerdo)
5ed641a - AutoML: added AutoML overview page (commit by @muellerdo)
813cae2 - AutoML: added docs for AutoML parameters (commit by @muellerdo)
6e66125 - AutoML: implemented introductions to AutoML interfaces Docker & CLI (commit by @muellerdo)
bdd4581 - Metaleaner: added warning about multi-label support to Metalearner submodule (commit by @muellerdo)
e6348e5 - Ensemble: added warnings for automatic DataGenerator parameter estimation in Stacking & Composite (commit by @muellerdo)
b569043 - AutoML: added usage page for AutoML CLI (commit by @muellerdo)
6a42c24 - AutoML: changed code block formats (commit by @muellerdo)
729fc1b - AutoML: implemented AutoML usage docs for Docker (commit by @muellerdo)
4421c99 - AutoML: changed file structure visualization in AutoML usage docs for CLI (commit by @muellerdo)
b4048dc - Examples: updated docs for examples (commit by @muellerdo)
1be3a93 - AutoML: added documentation for AutoML API reference (commit by @muellerdo)
3593d79 - Roadmap: checked AutoML docs as milestone on roadmap (commit by @muellerdo)
fe557d1 - IO_Loader: fixed mapping of io loader to description in table (commit by @muellerdo)
bc2104f - Unittesting: Renamed GitHub Action workflow for package building (commit by @muellerdo)
bc34d09 - Code-Quality: Refactored code coverage GitHub Action workflow (commit by @muellerdo)
34bde90 - Code-Quality: Added GitHub Action commitlint for commit convention checking (commit by @muellerdo)
f226d89 - Code-Quality: currently disabling commitlint (commit by @muellerdo)
43f6c8a - Code-Quality: added configuration file for commitlint (commit by @muellerdo)
67c6d9b - Updated to version 0.6.1 for Zenodo release (commit by @muellerdo)
de02965 - Bagging: Implemented training process for Bagging (also closes #121) (commit by @muellerdo)
c7cbc8e - Bagging: Implemented Bagging training in separate Processes to avoid any garbage collection issues (commit by @muellerdo)
c9ed177 - Bagging: Implemented Bagging inference functionality (commit by @muellerdo)
f78bba3 - Bagging: Implemented Bagging dump (result storage) functionality (commit by @muellerdo)
41c4114 - Bagging: Implemented Bagging load (re-using result directory) functionality (commit by @muellerdo)
7014130 - Metalearner: Started working on Metalearners for later usage in Stacking (commit by @muellerdo)
cdf9f54 - Metalearner: Implemented abstract base class for Metalearner (commit by @muellerdo)
168116f - Stacking: Implemented ensemble learning technique Stacking (commit by @muellerdo)
633af82 - Metalearner: Implemented Metalearner Logistic Regression (commit by @muellerdo)
726c6f2 - Metalearner: Implemented Metalearner: Naive Bayes (commit by @muellerdo)
b7d5548 - Metalearner: Added Metalearner Support Vector Machine (commit by @muellerdo)
d07b12d - Metalearner: Added Metalearner Gaussian Process (commit by @muellerdo)
85b861b - Metalearner: Added Metalearner Decision Tree (commit by @muellerdo)
54d6f4e - Metalearner: Added Metalearner Best Model (commit by @muellerdo)
162b977 - Metalearner: Added Metalearner Weighted Mean (commit by @muellerdo)
be429f6 - Metalearner: Added Random Forest - Contributes to #129 (commit by @muellerdo)
817e02d - Metalearner: Added k-Nearest Neighbors - Contributes to #129 (commit by @muellerdo)
b66de88 - Metalearner: Added MLP Neural Network - Contributes to #129 (commit by @muellerdo)
205dd12 - Aggregate: Added Global Argmax - Contributes to #129 (commit by @muellerdo)
09d4b13 - Classifier: Removed two_dim parameter from Classifier (commit by @muellerdo)
2c8f13a - Architectures: Started working on Vision Transformer (commit by @muellerdo)
33068ac - Architectures: Implemented Vision Transformer Architecture (commit by @muellerdo)
32a43d1 - Utils: Added utility function for parsing CSVLogger fitting file to fitting dictionary (commit by @muellerdo)
da69ac2 - Evaluation: Implemented fitting curve plotting (commit by @muellerdo)
393274f - Evaluation: Started implementing performance evaluation (commit by @muellerdo)
2962aa3 - Evaluation: Fully implemented performance evaluation (commit by @muellerdo)
1c80fdd - Evaluation: Added unittesting for performance evaluation (commit by @muellerdo)
0cdc6bd - Evaluation: Implemented comparison evaluation function (commit by @muellerdo)
4f90c5c - Ensemble: Added return_ensemble feature for Stacking and Bagging predictions. (commit by @muellerdo)
c2c1a33 - Evaluation: Added returning merged and gain dataframe in Comparison Evaluation (commit by @muellerdo)
8da7c53 - Evaluation: Added dataset analysis evaluation function (commit by @muellerdo)
d764ff9 - Bagging: Force setting multiprocessing start option which solves multi-assignment (commit by @muellerdo)
00cefe4 - Bagging: Removed unittests for deprecated model_list variable in Bagging initialization (commit by @muellerdo)
275b0b8 - Bagging: Fixed incorrect DataGenerator parameter mapping in predict function (commit by @muellerdo)
72794df - Metalearner: Fixed postprocessing of Decision Tree prediction (commit by @muellerdo)
546c07b - Website: Fixed 'funky' first item on landing page - Closes #106 (commit by @muellerdo)
2584e78 - Website: Hotfix of new introduced bug with previous commit (commit by @muellerdo)
e44916b - Architectures: Fixed incorrect input shapes for B16 and B32 Vision Transformer Architecture (commit by @muellerdo)
1b554cc - Evaluation: Fixed suffix=None usage in evaluate_fitting() (commit by @muellerdo)
c8ce20d - Classifier: Removed deprecated two_dim parameter from unittesting (commit by @muellerdo)
c5d3131 - DataGenerator: Enhanced temporary dictionary management for prepare_images - Closes #120, #10 (commit by @muellerdo)
2e25ddb - Bagging: Removed redundant deepcopy module dependency (commit by @muellerdo)
8e3eaae - Metalearner: Changed Metalearner training and prediction function to train() and predict() (commit by @muellerdo)
d3488ca - Evaluation: Removed redundant plot submodule file (commit by @muellerdo)
0a417d7 - Remove inconsistency of class naming (now following PEP8) - Closes #138 (commit by @muellerdo)
e87c8e9 - Bagging: Implemented unittesting for Bagging training and inference (commit by @muellerdo)
2110666 - Bagging: Implemented unittesting for Bagging dump() (commit by @muellerdo)
efbc889 - Bagging: Implemented unittesting for Bagging load function (commit by @muellerdo)
1e7056e - Stacking: Added unittesting for Stacking (commit by @muellerdo)
decde32 - Metalearner: Added unittesting for Metalearners - Closes #127 (commit by @muellerdo)
ddc6ef0 - Aggregate: Added unittesting for Global Argmax (commit by @muellerdo)
384334d - Architectures: Added unittesting for Vision Transformer (commit by @muellerdo)
0fb98a2 - Utils: Added unittesting for csv2history (commit by @muellerdo)
182774c - Evaluation: Implemented unittesting for fitting curve plotting (commit by @muellerdo)
b66bab7 - Evaluation: Implemented unittesting for evaluate_comparison() (commit by @muellerdo)
d6fd5f3 - Evaluation: Implemented unittesting for evaluate_dataset() (commit by @muellerdo)
da49ee3 - Evaluation: Implemented unittesting for evaluate_dataset() (commit by @muellerdo)
1b9031e - Architectures: Removed ViT architecture testing due to too heavy RAM requirements (commit by @muellerdo)
4524b30 - Neural_Network: Added unittesting for model.predict() (commit by @muellerdo)
1f38ce5 - Architectures: Added module dependency vit-keras (commit by @muellerdo)
4b6c89c - Evaluation: Added plotnine module dependency (commit by @muellerdo)
3376920 - Architectures: Added Tensorflow Addons as dependency for ViT Architecture (commit by @muellerdo)
d0544a3 - Requirements: Set minimum and debugging version of Tensorflow Addons to 0.16.1 (commit by @muellerdo)
686efc9 - Tensorflow: Added fixed version of protobuf to requirement dependencies due to global major release break (commit by @muellerdo)
b85e23a - Release: Added automatic CHANGELOG creation - Closes #113 (commit by @muellerdo)
6d2bb95 - Neural_Network: Fixed a variable type in parameter documentation of train() - integer to int (commit by @muellerdo)
532a688 - Augmenting: Added reference to ENSMIC publication (commit by @muellerdo)
c8230a4 - Bagging: Added complete documentation for the Bagging class (commit by @muellerdo)
3d7a749 - Ensemble: Added theory figure for visualization from the ENSMIC publication (commit by @muellerdo)
c984578 - Aggregate: Replaced N_cycles in documentation example of Aggregate functions to N_models (commit by @muellerdo)
00cbdf1 - Bagging: Removed a misleading statement in the training function docs (commit by @muellerdo)
484178a - Metalearner: Enhanced specification of Metalearner ABC for training (commit by @muellerdo)
511154b - Corrected multiple old data type annotations of Boolean to bool (commit by @muellerdo)
9a66925 - Stacking: Added example for Stacking (commit by @muellerdo)
9daf42d - Ensemble: Some docs enhancements (commit by @muellerdo)
737b40a - Metalearner: Some docs enhancements in Metalearner ABC (commit by @muellerdo)
66dedc6 - Roadmap: Updated roadmap status by Bagging & Stacking (commit by @muellerdo)
fedac2d - Metalearner: Added references to scikit-learn in Metalearner implementations (commit by @muellerdo)
4c7643f - Ensemble: Some upper/lower case changes in docs (commit by @muellerdo)
6f50f1c - Aggregate: Standardized starting upper case of Aggregate (commit by @muellerdo)
e744d10 - Website: Added AUCMEDI version to Application table - Closes #115 (commit by @muellerdo)
5175715 - Website: Added third container for landing page (commit by @muellerdo)
621179d - ensemble: proofreading (commit by @SherlockMones)
2fb7510 - ensemble: add feedback (commit by @SherlockMones)
2200ed3 - Renamed datatype dictionary to dict (commit by @muellerdo)
630c5ab - Utility: Fixed some documentation in csv2dict unittesting (commit by @muellerdo)
6c5d648 - Evaluation: Added docs for Fitting Plot (commit by @muellerdo)
6b242cc - Evaluation: Added preview image to evaluate_fitting() docs (commit by @muellerdo)
ac9dc8f - sampling: fix typo (commit by @SherlockMones)
d5de35b - augmentation: fix typo (commit by @SherlockMones)
0c3f1fc - Evaluation: Added preview figures for performance evaluation (commit by @muellerdo)
0811f99 - README: Increased WiP time from June to July (commit by @muellerdo)
76414d3 - Evaluation: Added docstrings and other documentation for metrics submodule (commit by @muellerdo)
da6af2b - Ensemble: Fixed an incorrect cross-reference to Aggregate in Augmenting (commit by @muellerdo)
8021ab1 - Evaluation: Fixed incorrect example comment in Performance Evaluation (commit by @muellerdo)
f0e9678 - Evaluation: Added full documentation for Comparison Evaluation (commit by @muellerdo)
c9be124 - Evaluation: Added missing preview figures for evaluate_comparison() docs (commit by @muellerdo)
206868a - model: fix small typos and improve architecture description (commit by @SherlockMones)
30bb4c0 - architectures: fix typo (commit by @SherlockMones)
ad31bbc - Logo: Added logo for AUCMEDI - Closes #73 (commit by @muellerdo)
f6f4814 - Logo: Added new logo with description to README (commit by @muellerdo)
ca7fc89 - model: improve transfer learning documentation (commit by @SherlockMones)
2d59bdc - Website: Integrated inverse description logo of AUCMEDI into landing page (commit by @muellerdo)
c5294c4 - model: fix typo (commit by @SherlockMones)
b4078a1 - Website: Fixed a website container layout issue for About_Us section (commit by @muellerdo)
698380a - Website: Added logo to introduction page in website (commit by @muellerdo)
d2c7ffe - Evaluation: Implemented docs for evaluate_dataset() (commit by @muellerdo)
666e664 - Evaluation: Added docs with overview for evaluation submodule (commit by @muellerdo)
3401f1c - Website: Increased width of landing page overview visualization (commit by @muellerdo)
8afc183 - Website: Added landing page figure (commit by @muellerdo)
80ffb96 - evaluation: proofreading (commit by @SherlockMones)
cb4b718 - Website: Updated overview figure on landing page of Website (commit by @muellerdo)
d545703 - Website: Improved contribution guidelines - Closes #125 (commit by @muellerdo)
ec0ae9d - Website: Changed roadmap milestones (commit by @muellerdo)
20217ad - Classifier: Removed the two_dim parameter in all Classifier.build() calls (commit by @muellerdo)
9cf93d2 - Package: Update to version 0.6.0 (commit by @muellerdo)
due to 0a417d7 - Remove inconsistency of class naming (now following PEP8) - Closes #138 (commit by @muellerdo):
Remove inconsistency of class naming (now following PEP8) - Closes #138
Fixed metadata support for Augmenting.