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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |