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vecxoz authored Apr 6, 2018
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Expand Up @@ -11,7 +11,7 @@ Convenient way to automate OOF computation, prediction and bagging using any num
* [Functional API](https://github.com/vecxoz/vecstack#usage-functional-api):
* Minimalistic. Get your stacked features in a single line
* RAM-friendly. The lowest possible memory consumption
* Kaggle-ready. Stacked features and hyperparameters from each run can be [automatically saved](https://github.com/vecxoz/vecstack/blob/master/vecstack/core.py#L207) in files. No more mess at the end of the competition. [Log example](https://github.com/vecxoz/vecstack/blob/master/examples/03_log_example.txt)
* Kaggle-ready. Stacked features and hyperparameters from each run can be [automatically saved](https://github.com/vecxoz/vecstack/blob/master/vecstack/core.py#L209) in files. No more mess at the end of the competition. [Log example](https://github.com/vecxoz/vecstack/blob/master/examples/03_log_example.txt)
* [Scikit-learn API](https://github.com/vecxoz/vecstack#usage-scikit-learn-api):
* Standardized. Fully scikit-learn compatible transformer class exposing `fit` and `transform` methods
* Pipeline-certified. Implement and deploy [multilevel stacking](https://github.com/vecxoz/vecstack/blob/master/examples/04_sklearn_api_regression_pipeline.ipynb) like it's no big deal using `sklearn.pipeline.Pipeline`
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* Scikit-learn API:
* [Regression + Multilevel stacking using Pipeline](https://github.com/vecxoz/vecstack/blob/master/examples/04_sklearn_api_regression_pipeline.ipynb)
* Documentation:
* [Functional API](https://github.com/vecxoz/vecstack/blob/master/vecstack/core.py#L136) or type ```>>> help(stacking)```
* [Functional API](https://github.com/vecxoz/vecstack/blob/master/vecstack/core.py#L133) or type ```>>> help(stacking)```
* [Scikit-learn API](https://github.com/vecxoz/vecstack/blob/master/vecstack/coresk.py#L64) or type ```>>> help(StackingTransformer)```

# Installation
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