junos
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48118f125d
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Reformat ml_pipeline_regression.py
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2023-04-21 21:34:54 +02:00 |
Primoz
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8a532fa95a
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Add a ML pipeline script to develop a whole pipeline.
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2023-02-23 10:41:36 +01:00 |
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Primoz
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ef12f64fe5
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Add feature selection Class skeleton.
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2023-02-20 11:51:34 +01:00 |
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Primoz
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63741c3627
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Add feature selection pipeline script with initail plan.
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2023-02-15 12:27:39 +01:00 |
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Primoz
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806ca1b37d
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Added excel intermediate scores file
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2023-02-06 14:02:24 +01:00 |
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Primoz
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d06da18c26
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Fix error with method name.
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2023-02-06 11:54:54 +01:00 |
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Primoz
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93a34986d9
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Comment code sections and change to pd.concatinate method.
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2023-02-06 11:31:21 +01:00 |
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Primoz
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08e81610a9
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Fix method params
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2023-02-06 11:21:17 +01:00 |
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Primoz
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ef78f179cd
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Add neccessary parameters to plot method.
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2023-02-06 11:19:04 +01:00 |
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Primoz
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afeb7b4872
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Remove data_yield from features.
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2023-02-06 11:16:53 +01:00 |
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Primoz
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ea3f805ba7
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Change ML model and ddd CV to sequential feat_select. Add std lines to plots.
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2023-02-06 11:09:15 +01:00 |
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Primoz
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e3aef2dae7
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Add save to file code, and todo comment
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2023-02-01 15:13:57 +01:00 |
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Primoz
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b286753696
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Add vizualization sections for sequential addition of sensors' features.
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2023-02-01 13:51:56 +01:00 |
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Primoz
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07ef72dec5
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Implement algorithm for sequential adding of the most important features.
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2023-01-25 14:19:29 +01:00 |
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Primoz
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85e572fca0
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Expand analysis of the features (individualy and by sensor groups).
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2023-01-23 16:32:07 +01:00 |
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Primoz
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6a98c8cdcf
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Prepare scripts for feature importance analysis.
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2023-01-19 16:20:43 +01:00 |
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Primoz
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d263b32564
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Temp: remove stratified logo from ml pipeline.
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2023-01-19 09:26:55 +01:00 |
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Primoz
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ad2fab133f
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Explore features with Entropy and IG.
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2023-01-13 17:08:56 +01:00 |
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junos
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72fdd9c5ec
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Use stratified downsampling.
And run all models with a method from machine_learning.helper.
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2023-01-04 21:48:37 +01:00 |
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junos
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b0b9edccc4
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Unhide jupyter code cells and outputs.
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2023-01-04 21:25:12 +01:00 |
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junos
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8bbe0b2ba8
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Merge branch 'ml_pipeline' of repo.ijs.si:junoslukan/straw2analysis into ml_pipeline
# Conflicts:
# .gitignore
# exploration/ml_pipeline_classification_with_clustering.py
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2023-01-04 18:19:43 +01:00 |
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junos
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1516d1c000
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Cluster by demand_control_ratio_quartile.
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2023-01-04 18:16:14 +01:00 |
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Primoz
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339142ff31
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Add expl stress event script and other changes.
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2022-12-21 15:02:25 +01:00 |
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Primoz
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adcb823d3f
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Add stress event duration exploration script.
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2022-12-15 16:43:40 +01:00 |
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Primoz
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a61ab9ee51
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Add feature importance check.
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2022-12-15 16:43:13 +01:00 |
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Primoz
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164d12ed2f
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Add undersampling method (with on/off parameter).
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2022-12-13 17:01:46 +01:00 |
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Primoz
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0a45e35164
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Remove unused imports prt. 2.
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2022-12-09 13:56:42 +01:00 |
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Primoz
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78b6e7fa07
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Remove unused imports from ML pipeline scripts.
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2022-12-09 13:53:16 +01:00 |
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Primoz
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6507b053c5
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Add StrtifiedKFold with shuffling as a default CV method.
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2022-12-09 13:46:13 +01:00 |
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junos
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525496418f
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Configure jupytext.
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2022-12-07 16:22:41 +01:00 |
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junos
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12f2c927fa
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Merge branch 'ml_pipeline' of repo.ijs.si:junoslukan/straw2analysis into ml_pipeline
# Conflicts:
# exploration/ml_pipeline_daily.py - deleted
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2022-12-07 15:36:52 +01:00 |
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Primoz
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cf0e4f89be
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Test nonstandardized data with regular classification pipeline.
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2022-11-29 14:06:06 +01:00 |
|
Primoz
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7504aa34cf
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Add additional categorical features (uncomment).
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2022-11-28 13:42:46 +01:00 |
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Primoz
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9a218c8e2a
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Add a script for two class train test split clustering classification.
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2022-11-25 14:44:11 +01:00 |
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Primoz
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98f78d72fc
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Create a classification models class and use it in the ml pipeline script.
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2022-11-25 12:35:45 +01:00 |
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Primoz
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218b684514
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Automize clustering classification logic and add parameters at the begining of the scripts. General changes and improvements.
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2022-11-24 16:12:20 +01:00 |
|
Primoz
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ddde80b421
|
Add classification with clustering ml pipeline script.
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2022-11-24 09:24:13 +01:00 |
|
Primoz
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7afef5582f
|
Add TEMP lime_survey cols
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2022-11-22 14:44:33 +01:00 |
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Primoz
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183758cd37
|
Improve general ml classification pipeline script.
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2022-11-22 14:31:49 +01:00 |
|
Primoz
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40029a8205
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Add a script for ml classification pipeline.
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2022-11-21 14:47:19 +01:00 |
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Primoz
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ae0f54ecc2
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Combine different segment scripts and set ml pipeline as a regression problem.
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2022-11-21 11:41:11 +01:00 |
|
Primoz
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8defb271c9
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Extend ml pipeline scripts with two additional CV methods.
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2022-11-21 11:23:47 +01:00 |
|
junos
|
848416bf6a
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Merge branch 'master' into ml_pipeline
# Conflicts:
# .gitignore
# rapids
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2022-11-16 17:46:01 +01:00 |
|
Primoz
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b59798df26
|
Add a new file tailored for stressfulness event regression.
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2022-11-16 14:49:40 +01:00 |
|
Primoz
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1d8dcf8b21
|
Add 30 min features data and modify script.
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2022-11-02 15:16:19 +01:00 |
|
Primoz
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9f7fa0c8e0
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Add 18 hour daily data and slightly modify jupyter script.
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2022-10-18 10:29:59 +02:00 |
|
Primoz
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466cd3dc23
|
Processing of a newly cleaned script. Addition of two ML models. And modifications with one hot encoding.
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2022-10-10 16:47:00 +02:00 |
|
junos
|
2d2f0b916f
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Prepare a function to run all models from an input.
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2022-08-31 18:46:14 +02:00 |
|
junos
|
8b8d626cf0
|
Merge branch 'ml_pipeline' into rapids
# Conflicts:
# exploration/ex_ml_pipeline.py
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2022-08-31 16:20:11 +02:00 |
|
Primoz
|
27b2282ee0
|
Datasets (phone&E4 features) and Jupyter script of regression models.
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2022-08-24 16:18:40 +02:00 |