Kumparanian is a set of workflows that optimize Kumparan’s data engineering and data scientist hiring process. It cuts down 1-2 working day(s) submission review process to just less than an hour.
If you are our candidate, you need to install kumparanian using following command:
pip install kumparanian
consult its help command:
% kumparanian ds --help Usage: kumparanian ds [OPTIONS] COMMAND [ARGS]... For Data Scientist role. Before you submit your trained model, you can verify your trained model using the following command: $ kumparanian ds verify YOURMODEL.pickle Use the following command to evaluate your trained model against your test dataset: $ kumparanian ds evaluate YOURMODEL.pickle test_file.csv Options: --help Show this message and exit. Commands: evaluate Evaluate the model verify Verify the model If you found any issues, feel free report it at: https://github.com/kumparan/kumparanian/issues
then read our assessment and you should be good.
Subsequent sections are not required for candidate as it intended only for project’s documentation purpose.
Kumparan’s Model Interface
The first component of Kumparanian is a Kumparan’s Model Interface. We’ve designed an interface for Machine Learning model that allows us to design a problem to have deterministic result.
The model interface contains 3 required methods: train, predict and save. The candidate will solve the assessment test by implement the train and predict methods. We provide save method to helps the candidate to save the trained model.
Read more about the Kumparan’s Model Interface.
The second component of Kumparanian is a kumparanian(1). This CLI will help the candidate to verify and test their model while also help our team to evaluate the candidate’s trained model.
kumparanian(1) can be installed via the following command:
pip install kumparanian
To get started, run the following command:
If you found any issue, please open new issue here kumparanian/issues.
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