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Competition-oriented framework for interactive feature engineering and building reproducible pipelines

Project description

Kaggle Tool Set

kts is a working title, highly likely it will be changed to avoid legal consequences.

Getting started

To install the package, just clone the repo to a directory included in PYTHONPATH.

What works by now

  • Base of feature engineering submodule

How it works

First of all, you need to import the module:

import kts
from kts import *

Then you should define a function to make new features based on your input dataframe:

def make_new_features(df):

To test it out, use @test decorator from kts or kts.feature:

def make_new_features(df):

When you're sure that your function works fine, @register it:

def make_new_features(df):

Since registering source of the function is stored in storage/features and calls are cached unless no_cache=True is used.

The function will also be contained in If you want to separate feature engineering from other steps of your pipeline, you can easily define all registered functions in a new notebook via

To learn more, read source and example notebook.

Project details

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Files for kts, version 0.0.51
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