v0.0.6

• Bug fixes
• Added missing imports
• Dependency version downgrades for better backward compatibility

v0.0.5

• Improved progress bar now shows the three steps of training
• Significant performance improvements on train() function
• Increased usage options for predict() function.

v0.0.2

Key Changes

Includes important bug fixes. Wider model catalogue added. Code generation introduced for both py and ipynb files.

What's Changed

• Update Scaling and Feature Transformation list by @Thilakraj1998 in #1
• Auto Data Clean,Feature Selection & YAML Generator by @Thilakraj1998 in #2
• fixed issue in identifying problem type by @Thilakraj1998 in #4
• Auto Model Selection and Trained model Class by @Thilakraj1998 in #6
• Added setup,pyproject and contributing.md update by @Thilakraj1998 in #7
• setup config update by @Thilakraj1998 in #11
• minor fixes by @Thilakraj1998 in #15
• minor fix by @Thilakraj1998 in #16
• minor value change by @Thilakraj1998 in #17
• Removed access to other functions by @Thilakraj1998 in #19
• Added Cv Score log output by @Thilakraj1998 in #22
• Added Metric Statsics by @Thilakraj1998 in #23
• Pandas DataFrame support to train function by @balamurugan1603 in #27
• solves issue #20 by @sreyan-ghosh in #26
• minor fix by @Thilakraj1998 in #29
• minor fix by @Thilakraj1998 in #30
• changed parameter from file_path to file by @sanketsarang in #36
• Added XGBClassifier by @balamurugan1603 in #50
• Loading CSV from URL by @balamurugan1603 in #35
• XGBClassifier Parameter Config fix by @Thilakraj1998 in #56
• BernoulliNB classifier config hyperparams updated by @melan96 in #55
• minor fix by @Thilakraj1998 in #75
• minor fix by @Thilakraj1998 in #76
• Minor fix by @Thilakraj1998 in #79
• Added example Regression & Classification Tests by @sanketsarang in #80
• Load Functionality Change by @Thilakraj1998 in #81
• Moved test files to base folder by @sanketsarang in #84
• adaboost-clf added. hyperparams adjusted. by @melan96 in #77
• regressor-poissonregressor added to source by @melan96 in #83
• Added HistGradientBoostingClassifier to Classifier Config by @Devolta05 in #85
• minor fix by @Thilakraj1998 in #87
• regressor sgd fixes added on lossfunction by @melan96 in #86
• Added the parameters for the Nearest Centroid by @Tanuj2552 in #88
• minor fix by @Thilakraj1998 in #90
• minor fix by @Thilakraj1998 in #92
• Added SGDClassifier to classifier_config.py by @Devolta05 in #91
• minor fix by @Thilakraj1998 in #93
• Enhanced Docs by @sanketsarang in #94
• Added AdaBoostRegressor by @26tanishabanik in #89
• minor fix by @Thilakraj1998 in #96
• Configuration Minor fix by @Thilakraj1998 in #97
• minor fix by @Thilakraj1998 in #101
• minor fix by @Thilakraj1998 in #102
• Major Enhancement by @Thilakraj1998 in #105
• Added the parameters for Lasso Regressor by @Tanuj2552 in #98
• Added RadiusNeighborsClassifier by @aadityasinha-dotcom in #51
• Modified the parameters for Lasso Regressor by @Tanuj2552 in #100
• Added Lars model to regressor_config.py by @SaharshLaud in #106
• Minor fix by @Thilakraj1998 in #113
• Added Categorical Naive Bayes to classifier_config,py by @Devolta05 in #99
• Minor fix by @Thilakraj1998 in #117
• Minor fix by @Thilakraj1998 in #118
• Added LassoLars by @naresh1205 in #114
• Added Bayesian Ridge Config by @Bhumika0201 in #119
• Minor fix by @Thilakraj1998 in #120
• Minor bug fix by @Thilakraj1998 in #124
• Added configuration for ElasticNet by @Bhumika0201 in #121
• config added for MultinomialNB by @Bhumika0201 in #126
• replaced unique( ) function of target_length by @Cipher-unhsiV in #104
• Add XGBoost Regressor by @vedantbahel in #125
• Added ARDRegressor model to regressor_config.py by @SaharshLaud in #127
• CodeGen - Support for ipynb files by @Thilakraj1998 in #128
• Added catboost regressor to regressor configuration by @Devolta05 in #110
• Minor fix CatboostRegressor configuration by @Thilakraj1998 in #130
• Added Gamma Regressor by @aadityasinha-dotcom in #129
• Minor addition by @Thilakraj1998 in #131
• minor fix by @Thilakraj1998 in #132
• Added PassiveAggressiveRegressor by @aadityasinha-dotcom in #135
• Added RadiusNeighborRegressor by @aadityasinha-dotcom in #134
• Added LightGBM model to regressor_config.py by @SaharshLaud in #133
• Minor fix by @Thilakraj1998 in #138
• Added Perceptron classifier to classifier_config.py by @SaharshLaud in #142
• minor fix by @Thilakraj1998 in #143
• Hacktoberfest Issue-137 Drop rows with more than 50% NANs by @TamannaBhasin27 in #144
• Minor Enhancement by @Thilakraj1998 in #145
• Minor fix by @Thilakraj1998 in #146

New Contributors

• @Thilakraj1998 made their first contribution in #1
• @balamurugan1603 made their first contribution in #27
• @sreyan-ghosh made their first contribution in #26
• @sanketsarang made their first contribution in #36
• @melan96 made their first contribution in #55
• @Devolta05 made their first contribution in #85
• @Tanuj2552 made their first contribution in #88
• @26tanishabanik made their first contribution in #89
• @aadityasinha-dotcom made their first contribution in #51
• @SaharshLaud made their first contribution in #106
• @naresh1205 made their first contribution in #114
• @Bhumika0201 made their first contribution in #119
• @Cipher-unhsiV made their first contribution in #104
• @vedantbahel made their first contribution in #125
• @TamannaBhasin27 made their first contribution in #144

Full Changelog: https://github.com/blobcity/autoai/commits/v0.0.2