2021-03-21 18:41:48 +01:00
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## Project for Inżynieria Uczenia Maszynowego class.
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The scope of this project is to propose a classifier based on Smart Grid Stability dataset:
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https://www.kaggle.com/pcbreviglieri/smart-grid-stability
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while using proper ML tools in a correct way.
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### Zadanie 1
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script.sh downloads and unzips the dataset and executes python_script.sh,
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which then normalizes the data, divides the dataset into train, test and validation subsets
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and prints a short summary of the dataset as well as its subsets.
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2021-03-28 21:07:50 +02:00
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### Zadanie 2
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add Jenkinsfiles and mock data preprocessing
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2021-05-16 23:01:34 +02:00
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### Zadanie 4
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added lab4 directory with new python script and updated Dockerfile.
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2021-04-24 13:31:02 +02:00
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The container downloads the dataset and installs software needed,
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then trains and evaluates model on the dataset.
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Loss and accuracy are saved to test_eval.txt file.
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2021-05-16 23:01:34 +02:00
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### Zadanie 5
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added lab5 directory with scripts
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2021-05-15 17:34:13 +02:00
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### Zadanie 6
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added create, train, eval directories in lab5
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2021-04-24 13:31:02 +02:00
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2021-05-16 23:01:34 +02:00
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### Zadanie 7
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updated contents of lab5/train directory
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2021-04-24 13:31:02 +02:00
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2021-05-15 17:34:13 +02:00
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ium01.ipynb is a notebook used to develop previously mentioned scripts.
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