junos
|
d19995385d
|
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
|
f73f86486a
|
Fill communication features with appropriate values.
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2021-08-21 18:28:22 +02:00 |
junos
|
8507ff5761
|
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
|
065cd4347e
|
[WIP] Add a class for model validation.
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2021-08-20 19:44:50 +02:00 |
junos
|
0b98d59aad
|
Aggregate labels using grouping_variable.
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2021-08-20 19:17:22 +02:00 |
junos
|
08fdec34f1
|
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
|
6592612db7
|
Add a similar class for labels.
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2021-08-19 17:44:04 +02:00 |
junos
|
97c693d252
|
Add a getter for communication data.
|
2021-08-19 17:36:26 +02:00 |
junos
|
93f136b080
|
Add a method to get communication features.
|
2021-08-19 17:32:02 +02:00 |
junos
|
5be3e82797
|
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
|
429aa43bd1
|
Add communication features to pipeline.
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2021-08-19 17:05:44 +02:00 |
junos
|
0ed34e97b3
|
Convert the class into a YAML object.
Add an example config file and demonstrate its usage in ex_ml_pipeline.ipynb.
|
2021-08-19 16:31:42 +02:00 |
junos
|
52664eb40b
|
Implement getters.
|
2021-08-19 11:47:59 +02:00 |
junos
|
3821314dd9
|
[WIP] Separate the features part from the pipeline.
|
2021-08-16 18:11:25 +02:00 |
junos
|
d6f36ec8f8
|
[WIP] Finish the class by assigning columns and validating model.
|
2021-08-13 17:41:04 +02:00 |
junos
|
b06ec6e1ae
|
[WIP] Methods to get the labels and data plus aggregate them.
|
2021-08-12 19:07:14 +02:00 |
junos
|
622477f19f
|
[WIP] Start merging steps into a class for a pipeline.
|
2021-08-12 17:38:08 +02:00 |
junos
|
070cfdba80
|
Start machine learning pipeline example.
Select data and labels.
|
2021-08-11 16:42:30 +02:00 |