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mlalgorithms library

Data science project with regression task for machine learning.

At this time our team has been developing web-service for this library.

Documentation is in the Wiki.

Installation

You'll need Python 3.6 or newer.

git clone https://github.com/robot-lab/tinkoff-optimization-of-procurement.git

or you can download library directly from main page of repository.

Example

After installing the library, you can easily run simply script, for example:

from mlalgorithms import shell


sh = shell.Shell()
sh.train("data/tinkoff/train.csv")
test_result, quality = sh.test()
print(f"Metric: {test_result}")
print(f"Quality satisfaction: {quality}")
sh.predict("data/tinkoff/test.csv", "data/tinkoff/menu.csv")
sh.output()

You can find more examples in the Wiki.

Help and support

You have questions but don't want to create an issue? Questions about this repository can be sent to email [email protected].

Bug reports, feature requests and ideas

If you have any issues, ideas or feedback, please create a new issue. Pull requests are also welcome!

Contributing & style guidelines

Git commit messages use imperative-style messages, start with capital letter and do not have trailing commas.

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Data science project with regression task for Tinkoff Cafe Challenge.

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