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appv take 1 #83

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Aug 3, 2016
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21 changes: 21 additions & 0 deletions .appveyor.yml
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@@ -0,0 +1,21 @@
build: false

environment:
matrix:
- PYTHON_VERSION: 3.5
MINICONDA: C:\Miniconda3

init:
- "ECHO %PYTHON_VERSION% %MINICONDA%"

install:
- "set PATH=%MINICONDA%;%MINICONDA%\\Scripts;%PATH%"
- conda config --set always_yes yes --set changeps1 no
- conda update -q conda
- conda info -a
- "conda create -q -n test-environment python=%PYTHON_VERSION% numpy scipy scikit-learn pandas matplotlib nose"
- activate test-environment
- pip install nose-exclude

test_script:
- nosetests -s -v --exclude-dir=mlxtend/tf_classifier --exclude-dir=mlxtend/tf_regressor --exclude-dir=mlxtend/tf_cluster --exclude-dir=mlxtend/data --exclude-dir=mlxtend/general_plotting
1 change: 1 addition & 0 deletions README.md
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@@ -1,6 +1,7 @@


[![Build Status](https://travis-ci.org/rasbt/mlxtend.svg?branch=master)](https://travis-ci.org/rasbt/mlxtend)
[![Build status](https://ci.appveyor.com/api/projects/status/7vx20e0h5dxcyla2/branch/master?svg=true)](https://ci.appveyor.com/project/rasbt/mlxtend/branch/master)
[![Code Health](https://landscape.io/github/rasbt/mlxtend/master/landscape.svg?style=flat)](https://landscape.io/github/rasbt/mlxtend/master)
[![PyPI version](https://badge.fury.io/py/mlxtend.svg)](http://badge.fury.io/py/mlxtend)
[![Coverage Status](https://coveralls.io/repos/rasbt/mlxtend/badge.svg?branch=master&service=github)](https://coveralls.io/github/rasbt/mlxtend?branch=master)
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2 changes: 2 additions & 0 deletions docs/sources/CHANGELOG.md
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Expand Up @@ -16,6 +16,8 @@ imput arrays via `transform` and `fit_transform`

##### Changes

- Added AppVeyor to CI to ensure MS Windows compatibility
- Dataset are now saved as compressed text/csv files rather than being imported as data types
- Added SVD solver option to `PrincipalComponentAnalysis`
- Raise AttributeError with "not fitted" message in SequentialFeatureSelector if `transform` or `get_metric_dict` are called prior to `fit`
- Use small, positive bias units in `TfMultiLayerPerceptron`'s hidden layer(s) if their activations are ReLUs in order to avoid dead neurons
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