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3c7d8690ee
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added feature selection on all models but lets see if it works, only worked until DT
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2022-05-23 07:47:56 +01:00 |
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a420822a93
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saved the UQ_FS_eg with almost complete output, still some minor fixes to do
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2022-05-23 03:35:35 +01:00 |
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1436557287
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saving work and wrapping up from the weekend
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2022-05-23 00:31:02 +01:00 |
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9839b6f8d1
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remove __estimator
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2022-05-22 23:39:35 +01:00 |
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1a1154b4f4
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remove ClfSwitcher() from this lot
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2022-05-22 23:36:24 +01:00 |
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18d9b77aee
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fs_* versions
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2022-05-22 23:33:11 +01:00 |
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c4142f441d
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remove redundant stuff
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2022-05-22 23:31:58 +01:00 |
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80e6b3af96
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copy of ML dir to an FS-only version
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2022-05-22 23:30:58 +01:00 |
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52cc16f3fa
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added UQ_LR FS2.py that has the FS run with LR model as part of pipeline and gridsearch
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2022-05-21 13:30:45 +01:00 |
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39cd7b4259
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finally made the fs work within class and without
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2022-05-21 13:30:04 +01:00 |
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4a9e9dfedf
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added sripts to try FS
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2022-05-21 04:25:07 +01:00 |
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3742a5f62d
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renamed UQ_LR_FS.py to UQ_LR_FS_p1.py
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2022-05-21 04:24:28 +01:00 |
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e16e82e673
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added ml numbers from run for multiple models for pnca without fs and started a file for fs
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2022-05-20 08:11:53 +01:00 |
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c1d27f5a92
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added UQ_LR_FS.py scrip for LR feature selection. SO far this is manual. cannot get it to be part of pipeline
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2022-05-20 08:10:44 +01:00 |
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37bda41f44
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added and ran hyperparam script for all different classifiers, but couldn't successfully run the feature selection and hyperparam together
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2022-05-20 08:09:24 +01:00 |
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74af5ef890
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moved UQ_RF older verison to earlier_versions dir
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2022-05-19 08:32:33 +01:00 |
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8b0f69bbd9
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added pratice and feature selection scripts for LR and hyperparam for all classification models as separate scripts in uq_ml_models
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2022-05-19 08:31:16 +01:00 |
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fa0f5e5b39
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saving work with scripts for feature selection
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2022-05-19 08:30:18 +01:00 |
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a9dc3c43e5
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added UQ_practice.py
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2022-05-19 02:38:01 +01:00 |
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ee163d3978
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added UQ scripts to do hyperparam ML models
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2022-05-19 02:37:00 +01:00 |
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4dbc90ad44
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modified ml params and models
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2022-05-19 02:35:50 +01:00 |
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3ed7840f60
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added UQ import and ml call scripts
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2022-05-16 08:06:56 +01:00 |
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66ebb1a30a
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saving work before adding uq stuff
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2022-05-16 08:05:41 +01:00 |
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5fe2dc47cd
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added files and saving work
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2022-05-05 19:44:19 +01:00 |
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409caaf0bc
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added lineage and af count accounting for corrupt data
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2022-04-08 17:00:57 +01:00 |
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28d0d68413
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added distinct lin count for each mutation
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2022-04-07 18:47:53 +01:00 |
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67d9e6160a
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added logoplot_example.R and ga_customers.csv
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2022-04-05 14:52:08 +01:00 |
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c647773520
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saving work
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2022-04-05 14:51:21 +01:00 |
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6a9d23ec8f
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added sample test data for processing to get correct annotations
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2022-03-24 17:42:02 +00:00 |
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005efb1e0e
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updated NOTES to reflect importance of eg 5 in unsup_v1.py
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2022-03-23 16:25:27 +00:00 |
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89a0c3a58a
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added tutorial examples and my data workthrough examplesin unsup_v1.py
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2022-03-23 16:23:18 +00:00 |
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ad5ebad7f8
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renamed hyperparams to gscv
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2022-03-22 11:08:20 +00:00 |
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a82358dbb4
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renamed practice_cv2 to cross_validate_vs_loopity_loop
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2022-03-22 11:03:51 +00:00 |
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0c4f1e1e5f
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added all classification algorithms params for gridsearch
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2022-03-21 13:51:20 +00:00 |
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d012542435
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added NOTES to indicate which scripts are important
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2022-03-18 17:56:26 +00:00 |
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ffd3ce6ee3
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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
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2022-03-18 17:52:06 +00:00 |
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d3b6fe13a6
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added grid_search_vs_base_estimator.py to compare results from baseestimator and gridsearch manual
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2022-03-18 17:51:38 +00:00 |
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b27bfa4a96
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added names and links for classification algo
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2022-03-18 17:50:49 +00:00 |
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824c2f041c
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saving work
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2022-03-18 17:50:24 +00:00 |
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ab1508e9fb
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added testing_lazypredict that runs 30 ML models in one go
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2022-03-17 18:20:50 +00:00 |
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de05652ef6
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added scripts for playing base_estimator
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2022-03-17 18:20:19 +00:00 |
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5138036d8b
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playing with gridsearchCV and base estimator
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2022-03-17 18:19:43 +00:00 |
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458a933d73
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added proof of concept checks to make sure loopity loop is equivalent to cross_validate with stratified Kfold passed as a cv param
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2022-03-17 18:18:43 +00:00 |
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d0c329a1d9
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modified loopity and multclass3 to have skf_cv as a parameters for cv
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2022-03-17 18:17:58 +00:00 |
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97620c1bb0
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added practice and base_estimator for all the confusion in my head
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2022-03-16 10:12:59 +00:00 |
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e28a296d98
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saving work
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2022-03-16 10:11:13 +00:00 |
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a1631ea54b
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added loopity loop function call to extract mean values for each model's metric from nested dict (2/3 levels)
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2022-03-14 18:46:59 +00:00 |
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29306e77ee
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added exmaples and practice run for imbalanced data sets
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2022-03-14 18:43:29 +00:00 |
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1016430ae0
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added copy to imports
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2022-03-14 18:43:02 +00:00 |
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160053d361
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loopity_loop_CALL
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2022-03-14 18:36:23 +00:00 |
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