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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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7aead2d4f4
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added loopity_loop to run multiple models with stratified k-fold, got stuck in infinite loops and nested dicts
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2022-03-14 10:36:19 +00:00 |
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69d0c1b557
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dict
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2022-03-10 19:20:02 +00:00 |
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d733b980ba
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added MultClassPipe3.py that runs multiple classification models on stratified K-fold data
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2022-03-09 18:36:47 +00:00 |
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1bfb35c30c
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trying Stratified Kfold split on running multiple pipelines
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2022-03-09 18:35:54 +00:00 |
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bb8f6f70ba
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added prelim run for pnca all models with on-hot encoder multi model pipeline
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2022-03-07 18:27:58 +00:00 |
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dd8fd5b8ac
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added MultClassPipe2.py that has one hot encoder included
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2022-03-07 18:27:29 +00:00 |
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b637ebc6d2
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saving work
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2022-03-07 18:27:07 +00:00 |
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564e72fc2d
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added MultClassPipe2 that has one hot encoder step to the pipeline
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2022-03-07 17:36:48 +00:00 |
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f5dcf29e25
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added my_data9.py trying models with num and cat features
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2022-03-07 15:32:34 +00:00 |
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3bf63c522c
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trying one_hot encoder for categ vars, which was sucessful but not rfecv
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2022-03-06 14:49:51 +00:00 |
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6160d943f5
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made var names more meaniningful
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2022-03-06 14:49:32 +00:00 |
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e2b997badf
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trying feature selection for classification logistic algorithm on 3 types of target
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2022-03-05 15:13:43 +00:00 |
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ec2d5ca25b
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saving work
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2022-03-05 15:13:26 +00:00 |
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877862acb7
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added count for targets for all genes and ran multiple classification models for all of the genes and target as a start
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2022-03-04 19:16:04 +00:00 |
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89158bc669
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saving work
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2022-03-04 19:15:49 +00:00 |
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51069fdb76
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output merged_df3 and merged_df2 files for all gene-targtes along with active site residues annotated
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2022-03-04 10:58:14 +00:00 |
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bff16fc219
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added my_data5.py to run multiple classifications algorithms and added prelim results
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2022-03-03 17:59:51 +00:00 |
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1fecbc15c9
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added standard KFold as well
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2022-03-03 15:18:34 +00:00 |
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04e0267dd1
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added my_data4 after outputting merged_df3 for pnca to test the ml models
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2022-03-03 13:35:05 +00:00 |
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25a55ac914
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added practice scripts 2 and 3 to test different methods
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2022-03-02 19:42:51 +00:00 |
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9d46613ca4
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updated practice script with some notes
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2022-02-24 18:41:15 +00:00 |
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67e003df8b
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added my data ML test
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2022-02-24 18:34:07 +00:00 |
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8edd4c5b6d
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added practicals and solutions for TF
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2020-01-28 08:49:52 +00:00 |
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