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update documentation
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yzhao062 committed Jul 28, 2019
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3 changes: 0 additions & 3 deletions README.rst
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* **predict_proba(X)**\ : Predict the probability of a sample belonging to each class. Only applicable for classification tasks.


Key Attributes of a fitted model: to finish.


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2 changes: 1 addition & 1 deletion combo/version.py
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# Dev branch marker is: 'X.Y.dev' or 'X.Y.devN' where N is an integer.
# 'X.Y.dev0' is the canonical version of 'X.Y.dev'
#
__version__ = '0.0.4' # pragma: no cover
__version__ = '0.0.5' # pragma: no cover
2 changes: 2 additions & 0 deletions docs/api.rst
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modules/classifier_comb/BaseClassifierAggregator
modules/classifier_comb/SimpleClassifierAggregator

:mod:`combo.models.stacking`: Stacking (meta ensembling). Check this `introductory
article by Kaggle <http://blog.kaggle.com/2016/12/27/a-kagglers-guide-to-model-stacking-in-practice/>`_.

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4 changes: 2 additions & 2 deletions docs/example.rst
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Quick Start
===========
Examples by Tasks
=================


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2 changes: 0 additions & 2 deletions docs/index.rst
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* **predict_proba(X)**\ : Predict the probability of a sample belonging to each class. Only applicable for classification tasks.


Key Attributes of a fitted model: to finish.

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8 changes: 0 additions & 8 deletions temp.rst

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