		Metadata-Version: 2.4
		Name: vecstack
		Version: 0.5.1
		Version: 0.5.2
		Summary: Python package for stacking (machine learning technique)
		@@ -5,0 +5,0 @@ Home-page: https://github.com/vecxoz/vecstack

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README.md

		@@ -21,6 +21,6 @@ [![PyPI version](https://img.shields.io/pypi/v/vecstack.svg?colorB=4cc61e)](https://pypi.python.org/pypi/vecstack)
		* Use any sklearn-like estimators
		* Perform [classification and regression](https://github.com/vecxoz/vecstack/blob/master/vecstack/coresk.py#L85) tasks
		* Predict [class labels or probabilities](https://github.com/vecxoz/vecstack/blob/master/vecstack/coresk.py#L121) in classification task
		* Apply any [user-defined metric](https://github.com/vecxoz/vecstack/blob/master/vecstack/coresk.py#L126)
		* Apply any [user-defined transformations](https://github.com/vecxoz/vecstack/blob/master/vecstack/coresk.py#L89) for target and prediction
		* Perform [classification and regression](https://github.com/vecxoz/vecstack/blob/master/vecstack/coresk.py#L87) tasks
		* Predict [class labels or probabilities](https://github.com/vecxoz/vecstack/blob/master/vecstack/coresk.py#L123) in classification task
		* Apply any [user-defined metric](https://github.com/vecxoz/vecstack/blob/master/vecstack/coresk.py#L128)
		* Apply any [user-defined transformations](https://github.com/vecxoz/vecstack/blob/master/vecstack/coresk.py#L91) for target and prediction
		* Python 3.9+, [unofficial support for Python 2.7 and 3.4](https://github.com/vecxoz/vecstack/blob/master/PY2.md)
		@@ -48,3 +48,3 @@ * Win, Linux, Mac
		* [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#L66) or type ```>>> help(StackingTransformer)```
		* [Scikit-learn API](https://github.com/vecxoz/vecstack/blob/master/vecstack/coresk.py#L68) or type ```>>> help(StackingTransformer)```

		@@ -51,0 +51,0 @@ # Installation

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setup.py

		@@ -12,3 +12,3 @@ #! /usr/bin/env python
		setup(name='vecstack',
		version='0.5.1',
		version='0.5.2',
		description='Python package for stacking (machine learning technique)',
		@@ -15,0 +15,0 @@ long_description=long_desc,

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vecstack.egg-info/PKG-INFO

		Metadata-Version: 2.4
		Name: vecstack
		Version: 0.5.1
		Version: 0.5.2
		Summary: Python package for stacking (machine learning technique)
		@@ -5,0 +5,0 @@ Home-page: https://github.com/vecxoz/vecstack

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vecstack/__init__.py

		@@ -41,3 +41,3 @@ """Python package for stacking (machine learning technique)
		__license__ = 'MIT'
		__version__ = '0.5.1'
		__version__ = '0.5.2'

		@@ -44,0 +44,0 @@ __all__ = ['stacking', 'StackingTransformer']

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vecstack/coresk.py

		@@ -81,2 +81,4 @@ """Scikit-learn compatible API for stacking.

		Note. Dropping individual estimators using 'drop' is not supported.

		Note. According to sklearn convention for binary classification
		@@ -83,0 +85,0 @@ task with probabilities estimator must return probabilities

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