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• 6be17e3e3e added test data for runALLclfs master Tanushree Tunstall 2022-07-16 15:36:15 +01:00
• c666c426c0 fixed aa_index creeping categorical values in numerical cols Tanushree Tunstall 2022-06-16 17:47:00 +01:00
• 89cbeb3610 added UQ_ML_data2.py that contains aa_index data now combined with previous features data Tanushree Tunstall 2022-06-16 16:51:24 +01:00
• cdfb30ef33 reflected that active_site indication column has been added to UQ_ML_data.py Tanushree Tunstall 2022-06-16 16:50:46 +01:00
• 5e15397134 test file to pull from laptop Tanushree Tunstall 2022-05-29 23:18:24 +01:00
• 5202be4adc various changes Tanushree Tunstall 2022-05-29 13:10:50 +01:00
• f761dd4479 added notes to run yc models with dissected features Tanushree Tunstall 2022-05-29 08:04:12 +01:00
• a784f9cc4e added UQ_yc_RunAllClfs.py Tanushree Tunstall 2022-05-29 07:42:31 +01:00
• 3b76ad00fc save Tanushree Tunstall 2022-05-29 07:41:12 +01:00
• 5936e2c070 renamed yc filename to run all ML models Tanushree Tunstall 2022-05-29 07:39:35 +01:00
• dad7cbdd28 disseted features to run all baseline YC models added Tanushree Tunstall 2022-05-29 07:37:10 +01:00
• 8305f7b6bd adde MLfeatures_types.pu Tanushree Tunstall 2022-05-29 07:33:23 +01:00
• 429665795c added function calls fro yc run_all_ML Tanushree Tunstall 2022-05-29 07:31:06 +01:00
• 7efade3736 saving Tanushree Tunstall 2022-05-29 07:01:34 +01:00
• c91a994828 adding prints to pnca_config file Tanushree Tunstall 2022-05-29 06:58:21 +01:00
• 693a5324c1 tidyed up ML data processing for actual processing Tanushree Tunstall 2022-05-29 06:03:36 +01:00
• cbfbb525fa added file UQ_ML_data.py which was pka UQ_pnca_ML.py Tanushree Tunstall 2022-05-29 05:22:51 +01:00
• 084c280f16 finalised categorical and lineage col classifications Tanushree Tunstall 2022-05-29 05:22:01 +01:00
• c37780350e saving work Tanushree Tunstall 2022-05-28 11:28:02 +01:00
• dd39519234 UQ_Imbalance.py is still the practice one Tanushree Tunstall 2022-05-28 11:26:29 +01:00
• f2634f77ef saving and organising work to call form cmd line Tanushree Tunstall 2022-05-28 11:25:04 +01:00
• d9a1888e8c tidying import script and moving estimators where the ML classifier func are Tanushree Tunstall 2022-05-28 09:44:26 +01:00
• 2898686bf8 tidy script to run my versions of multiple modles with blind tests and also with oversampled data Tanushree Tunstall 2022-05-28 09:41:30 +01:00
• b6f0308e42 tidying script to run from cmd and via ssh Tanushree Tunstall 2022-05-28 09:40:24 +01:00
• 0a84a4b4dc update Tanushree Tunstall 2022-05-27 14:32:41 +01:00
• 3727425a0b add missin .py Tanushree Tunstall 2022-05-27 14:30:07 +01:00
• 77fc14e19d added OR impute code in UQ_pnca_ML Tanushree Tunstall 2022-05-27 08:49:24 +01:00
• 1da87ba177 git add UQ_imbalance.py Tanushree Tunstall 2022-05-27 06:05:34 +01:00
• 42c8c47e2d added UQ_MultClassPipe4.py and UQ_imbalance.py Tanushree Tunstall 2022-05-26 07:39:47 +01:00
• 5779331981 trying under and oversampling Tanushree Tunstall 2022-05-26 07:38:21 +01:00
• 8f8306d948 added all autosklearn informed hyperparams Tanushree Tunstall 2022-05-26 04:51:47 +01:00
• b5d29dd449 added validated params for all classifiers Tanushree Tunstall 2022-05-26 03:20:54 +01:00
• 00633872f5 added classification_params.py i.e hyperparams for each model without FS Tanushree Tunstall 2022-05-24 11:58:39 +01:00
• cdddbde7ec replaced pipe_abc with pipe_rc related to the same Tanushree Tunstall 2022-05-24 11:57:54 +01:00
• a4124986c0 moved earlier version for model and param names to earlier_versions Tanushree Tunstall 2022-05-24 09:21:29 +01:00
• dcb4f7edbf added to notes Tanushree Tunstall 2022-05-24 09:20:45 +01:00
• 5d6dccfc09 added file containing model names and hyperaprams to run for all models inc FS Tanushree Tunstall 2022-05-24 09:14:41 +01:00
• 9c07ad3ce8 renamed function file to UQ_FS_fn.py and added new file to call this function Tanushree Tunstall 2022-05-24 08:20:57 +01:00
• 6f9e3b91a6 added custom rfecv to get names out from stackoverflow Tanushree Tunstall 2022-05-24 07:51:16 +01:00
• f2d2f361f0 n_estimators range to include upto a 1000 alex's suggestion Tanushree Tunstall 2022-05-24 07:50:11 +01:00
• b49c877f49 huge progress with getting feature names out from One Hot encoder Tanushree Tunstall 2022-05-24 07:48:00 +01:00
• 95852fa40e aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa Tanushree Tunstall 2022-05-24 02:33:56 +01:00
• 6db5046302 modifying output dict for printing in UQ_FS_eg.py Tanushree Tunstall 2022-05-23 22:52:57 +01:00
• 3c7d8690ee added feature selection on all models but lets see if it works, only worked until DT Tanushree Tunstall 2022-05-23 07:47:56 +01:00
• a420822a93 saved the UQ_FS_eg with almost complete output, still some minor fixes to do Tanushree Tunstall 2022-05-23 03:35:35 +01:00
• 1436557287 saving work and wrapping up from the weekend Tanushree Tunstall 2022-05-23 00:31:02 +01:00
• 9839b6f8d1 remove __estimator Tanushree Tunstall 2022-05-22 23:39:35 +01:00
• 1a1154b4f4 remove ClfSwitcher() from this lot Tanushree Tunstall 2022-05-22 23:36:24 +01:00
• 18d9b77aee fs_* versions Tanushree Tunstall 2022-05-22 23:33:11 +01:00
• c4142f441d remove redundant stuff Tanushree Tunstall 2022-05-22 23:31:58 +01:00
• 80e6b3af96 copy of ML dir to an FS-only version Tanushree Tunstall 2022-05-22 23:30:58 +01:00
• 52cc16f3fa added UQ_LR FS2.py that has the FS run with LR model as part of pipeline and gridsearch Tanushree Tunstall 2022-05-21 13:30:45 +01:00
• 39cd7b4259 finally made the fs work within class and without Tanushree Tunstall 2022-05-21 13:30:04 +01:00
• 4a9e9dfedf added sripts to try FS Tanushree Tunstall 2022-05-21 04:25:07 +01:00
• 3742a5f62d renamed UQ_LR_FS.py to UQ_LR_FS_p1.py Tanushree Tunstall 2022-05-21 04:24:28 +01:00
• e16e82e673 added ml numbers from run for multiple models for pnca without fs and started a file for fs Tanushree Tunstall 2022-05-20 08:11:53 +01:00
• c1d27f5a92 added UQ_LR_FS.py scrip for LR feature selection. SO far this is manual. cannot get it to be part of pipeline Tanushree Tunstall 2022-05-20 08:10:44 +01:00
• 37bda41f44 added and ran hyperparam script for all different classifiers, but couldn't successfully run the feature selection and hyperparam together Tanushree Tunstall 2022-05-20 08:09:24 +01:00
• 74af5ef890 moved UQ_RF older verison to earlier_versions dir Tanushree Tunstall 2022-05-19 08:32:33 +01:00
• 8b0f69bbd9 added pratice and feature selection scripts for LR and hyperparam for all classification models as separate scripts in uq_ml_models Tanushree Tunstall 2022-05-19 08:31:16 +01:00
• fa0f5e5b39 saving work with scripts for feature selection Tanushree Tunstall 2022-05-19 08:30:18 +01:00
• a9dc3c43e5 added UQ_practice.py Tanushree Tunstall 2022-05-19 02:38:01 +01:00
• ee163d3978 added UQ scripts to do hyperparam ML models Tanushree Tunstall 2022-05-19 02:37:00 +01:00
• 4dbc90ad44 modified ml params and models Tanushree Tunstall 2022-05-19 02:35:50 +01:00
• 3ed7840f60 added UQ import and ml call scripts Tanushree Tunstall 2022-05-16 08:06:56 +01:00
• 66ebb1a30a saving work before adding uq stuff Tanushree Tunstall 2022-05-16 08:05:41 +01:00
• 5fe2dc47cd added files and saving work Tanushree Tunstall 2022-05-05 19:44:19 +01:00
• 409caaf0bc added lineage and af count accounting for corrupt data Tanushree Tunstall 2022-04-08 17:00:57 +01:00
• 28d0d68413 added distinct lin count for each mutation Tanushree Tunstall 2022-04-07 18:47:53 +01:00
• 67d9e6160a added logoplot_example.R and ga_customers.csv Tanushree Tunstall 2022-04-05 14:52:08 +01:00
• c647773520 saving work Tanushree Tunstall 2022-04-05 14:51:21 +01:00
• 6a9d23ec8f added sample test data for processing to get correct annotations Tanushree Tunstall 2022-03-24 17:42:02 +00:00
• 005efb1e0e updated NOTES to reflect importance of eg 5 in unsup_v1.py Tanushree Tunstall 2022-03-23 16:25:27 +00:00
• 89a0c3a58a added tutorial examples and my data workthrough examplesin unsup_v1.py Tanushree Tunstall 2022-03-23 16:23:18 +00:00
• ad5ebad7f8 renamed hyperparams to gscv Tanushree Tunstall 2022-03-22 11:08:20 +00:00
• a82358dbb4 renamed practice_cv2 to cross_validate_vs_loopity_loop Tanushree Tunstall 2022-03-22 11:03:51 +00:00
• 0c4f1e1e5f added all classification algorithms params for gridsearch Tanushree Tunstall 2022-03-21 13:51:20 +00:00
• d012542435 added NOTES to indicate which scripts are important Tanushree Tunstall 2022-03-18 17:56:26 +00:00
• ffd3ce6ee3 added intra_model_gscv.py that tell me within each model which hyperparasm are best, allows me to choose the models with the best hyperparams to then compare 'INTER' model Tanushree Tunstall 2022-03-18 17:52:06 +00:00
• d3b6fe13a6 added grid_search_vs_base_estimator.py to compare results from baseestimator and gridsearch manual Tanushree Tunstall 2022-03-18 17:51:38 +00:00
• b27bfa4a96 added names and links for classification algo Tanushree Tunstall 2022-03-18 17:50:49 +00:00
• 824c2f041c saving work Tanushree Tunstall 2022-03-18 17:50:24 +00:00
• ab1508e9fb added testing_lazypredict that runs 30 ML models in one go Tanushree Tunstall 2022-03-17 18:20:50 +00:00
• de05652ef6 added scripts for playing base_estimator Tanushree Tunstall 2022-03-17 18:20:19 +00:00
• 5138036d8b playing with gridsearchCV and base estimator Tanushree Tunstall 2022-03-17 18:19:43 +00:00
• 458a933d73 added proof of concept checks to make sure loopity loop is equivalent to cross_validate with stratified Kfold passed as a cv param Tanushree Tunstall 2022-03-17 18:18:43 +00:00
• d0c329a1d9 modified loopity and multclass3 to have skf_cv as a parameters for cv Tanushree Tunstall 2022-03-17 18:17:58 +00:00
• 97620c1bb0 added practice and base_estimator for all the confusion in my head Tanushree Tunstall 2022-03-16 10:12:59 +00:00
• e28a296d98 saving work Tanushree Tunstall 2022-03-16 10:11:13 +00:00
• a1631ea54b added loopity loop function call to extract mean values for each model's metric from nested dict (2/3 levels) Tanushree Tunstall 2022-03-14 18:46:59 +00:00
• 29306e77ee added exmaples and practice run for imbalanced data sets Tanushree Tunstall 2022-03-14 18:43:29 +00:00
• 1016430ae0 added copy to imports Tanushree Tunstall 2022-03-14 18:43:02 +00:00
• 160053d361 loopity_loop_CALL Tanushree Tunstall 2022-03-14 18:36:23 +00:00
• 7aead2d4f4 added loopity_loop to run multiple models with stratified k-fold, got stuck in infinite loops and nested dicts Tanushree Tunstall 2022-03-14 10:36:19 +00:00
• 69d0c1b557 dict Tanushree Tunstall 2022-03-10 19:20:02 +00:00
• d733b980ba added MultClassPipe3.py that runs multiple classification models on stratified K-fold data Tanushree Tunstall 2022-03-09 18:36:47 +00:00
• 1bfb35c30c trying Stratified Kfold split on running multiple pipelines Tanushree Tunstall 2022-03-09 18:35:54 +00:00
• bb8f6f70ba added prelim run for pnca all models with on-hot encoder multi model pipeline Tanushree Tunstall 2022-03-07 18:27:58 +00:00
• dd8fd5b8ac added MultClassPipe2.py that has one hot encoder included Tanushree Tunstall 2022-03-07 18:27:29 +00:00
• b637ebc6d2 saving work Tanushree Tunstall 2022-03-07 18:27:07 +00:00