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 |
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 |
junos
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e33a49c9fc
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Add a demo of pipeline.
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2021-11-17 10:44:49 +01:00 |
junos
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005b09cfdf
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[WIP] Fix tests to use pyprojroot.
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2021-10-29 12:07:12 +02:00 |
junos
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a63a7eac99
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[WIP] Add a test for SensorFeatures.
Additional analysis for adherence.
Small corrections.
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2021-10-13 13:39:58 +02:00 |
junos
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b8c7606664
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Add an option to read cached labels from a file.
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2021-09-15 15:45:49 +02:00 |
junos
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ed062d25ee
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Add export capabilities to labels.py.
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2021-09-15 15:36:36 +02:00 |
junos
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20748890a8
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Further refactor by moving helper functions.
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2021-09-15 15:14:54 +02:00 |
junos
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28699a0fdf
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Enable reading features from csv files.
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2021-09-14 17:42:34 +02:00 |
junos
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af9e81fe40
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Document the SensorFeatures class and its __init__ method.
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2021-09-13 17:43:47 +02:00 |
junos
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b19eebbb92
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Refactor machine_learning/pipeline.py by defining one class by file.
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2021-09-13 11:41:57 +02:00 |
junos
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c1bb4ddf0f
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Save calculated features to csv files.
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2021-08-23 16:36:26 +02:00 |
junos
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0152fbe4ac
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Delete the leftover class.
Add more prints.
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2021-08-23 16:09:23 +02:00 |
junos
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3611fc76f7
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Fill NaNs after merging all features.
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2021-08-21 19:48:57 +02:00 |
junos
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ee30c042ea
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Fill NaNs introduced in merge for proximity.
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2021-08-21 19:40:42 +02:00 |
junos
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a71e132edf
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Prepare the first full pipeline.
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2021-08-21 19:04:09 +02:00 |
junos
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24c4bef7e2
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Print some more messages.
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2021-08-21 19:03:44 +02:00 |
junos
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11381d6447
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Add some print statements for monitoring progress.
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2021-08-21 18:54:02 +02:00 |
junos
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d19995385d
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Account for the case when there is no data for days with labels.
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2021-08-21 18:49:57 +02:00 |
junos
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f73f86486a
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Fill communication features with appropriate values.
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2021-08-21 18:28:22 +02:00 |
junos
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8507ff5761
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Check for NaNs in the data, since sklearn.LinearRegression cannot handle them.
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2021-08-21 17:46:00 +02:00 |
junos
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065cd4347e
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[WIP] Add a class for model validation.
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2021-08-20 19:44:50 +02:00 |
junos
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0b98d59aad
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Aggregate labels using grouping_variable.
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2021-08-20 19:17:22 +02:00 |
junos
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08fdec34f1
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Merge features into a common df.
But first, group communication by the grouping_variable.
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2021-08-20 17:59:00 +02:00 |
junos
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6592612db7
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Add a similar class for labels.
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2021-08-19 17:44:04 +02:00 |
junos
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97c693d252
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Add a getter for communication data.
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2021-08-19 17:36:26 +02:00 |
junos
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93f136b080
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Add a method to get communication features.
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2021-08-19 17:32:02 +02:00 |
junos
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5be3e82797
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Accept nested feature configuration.
To do this, pass a dict as parameters to SensorFeatures class, rather than actually reading the object from yaml file.
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2021-08-19 17:23:23 +02:00 |
junos
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429aa43bd1
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Add communication features to pipeline.
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2021-08-19 17:05:44 +02:00 |
junos
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0ed34e97b3
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Convert the class into a YAML object.
Add an example config file and demonstrate its usage in ex_ml_pipeline.ipynb.
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2021-08-19 16:31:42 +02:00 |
junos
|
52664eb40b
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Implement getters.
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2021-08-19 11:47:59 +02:00 |
junos
|
3821314dd9
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[WIP] Separate the features part from the pipeline.
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2021-08-16 18:11:25 +02:00 |
junos
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d6f36ec8f8
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[WIP] Finish the class by assigning columns and validating model.
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2021-08-13 17:41:04 +02:00 |
junos
|
b06ec6e1ae
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[WIP] Methods to get the labels and data plus aggregate them.
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2021-08-12 19:07:14 +02:00 |
junos
|
622477f19f
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[WIP] Start merging steps into a class for a pipeline.
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2021-08-12 17:38:08 +02:00 |
junos
|
070cfdba80
|
Start machine learning pipeline example.
Select data and labels.
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2021-08-11 16:42:30 +02:00 |