# fklearn: Functional Machine Learning
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**fklearn** uses functional programming principles to make it easier to solve real problems with Machine Learning.
The name is a reference to the widely known [scikit-learn](https://scikit-learn.org/stable/) library.
**fklearn Principles**
1. Validation should reflect real-life situations.
2. Production models should match validated models.
3. Models should be production-ready with few extra steps.
4. Reproducibility and in-depth analysis of model results should be easy to achieve.
[Documentation](https://fklearn.readthedocs.io/en/latest/) |
[Getting Started](https://fklearn.readthedocs.io/en/latest/getting_started.html) |
[API Docs](https://fklearn.readthedocs.io/en/latest/api.html) |
[Contributing](https://fklearn.readthedocs.io/en/latest/contributing.html) |
## Installation
To install via pip:
```
pip install fklearn
```
You can also install from the source:
```sh
git clone git@github.com:nubank/fklearn.git
cd fklearn
git checkout master
pip install -e .
```
## License
[Apache License 2.0](LICENSE)
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fklearn-1.21.0.tar.gz (54个子文件)
fklearn-1.21.0
MANIFEST.in 104B
PKG-INFO 442B
requirements_xgboost.txt 20B
requirements_tools.txt 90B
requirements_test.txt 123B
src
fklearn
metrics
__init__.py 0B
pd_extractors.py 5KB
training
ensemble.py 7KB
transformation.py 36KB
regression.py 24KB
utils.py 3KB
calibration.py 6KB
unsupervised.py 3KB
pipeline.py 5KB
imputation.py 4KB
__init__.py 0B
classification.py 26KB
data
datasets.py 4KB
__init__.py 0B
validation
evaluators.py 30KB
validator.py 9KB
perturbators.py 3KB
__init__.py 0B
splitters.py 32KB
preprocessing
rebalancing.py 3KB
__init__.py 0B
splitting.py 8KB
schema.py 5KB
resources
VERSION 7B
__init__.py 33B
tuning
stoppers.py 6KB
utils.py 2KB
selectors.py 17KB
model_agnostic_fc.py 2KB
__init__.py 0B
samplers.py 6KB
parameter_tuners.py 8KB
types
types.py 1KB
__init__.py 34B
common_docstrings.py 2KB
version.py 268B
fklearn.egg-info
PKG-INFO 442B
requires.txt 1KB
not-zip-safe 1B
SOURCES.txt 2KB
top_level.txt 8B
dependency_links.txt 1B
requirements_lgbm.txt 23B
setup.cfg 38B
requirements.txt 180B
setup.py 2KB
requirements_catboost.txt 25B
requirements_demos.txt 66B
README.md 2KB
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