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NeuralEnsemble / elephant / 463 / 2
88%
master: 88%

Build:
DEFAULT BRANCH: master
Ran 03 Apr 2018 08:48AM UTC
Files 48
Run time 2s
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03 Apr 2018 08:37AM UTC coverage: 86.735% (+0.1%) from 86.606%
DISTRIB="conda" PYTHON_VERSION="3.5" INSTALL_MKL="true" NUMPY_VERSION="1.10.4" SCIPY_VERSION="0.16.1" PANDAS_VERSION="0.16.2" SIX_VERSION="1.10.0" COVERAGE="true"

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mdenker
Feature/multifiltertest (#142)

* Added multiple filter test script

* Removed repeated lines

* Added some TODOs

* added Multiple Filter Test for detection of rate change points, and its unittest

* typos

* modify brownnian

* modify documentation and add line 121

* if at line 453 and small others

* aestetics and details

* intermediate commit'

* update

* worked little bit on documentation and did some corrections

* nothing

* fixed unittest and some aesthetics in mft

* add assertRaises for function -filter and -filterprocess

* add assertRaises for function -filter and -filterprocess

* further modification

* fixed unittests

* some comments

* forgetness

* changed file names

* corrected generation of the limit processes, by moving the generated brownian motion outside the for loop across windows

* change test with public data in test with long data, the rate have been changed from 8, 13, 18, 16.5 Hz to 4, 13, 36, 16.5 Hz and the seed is not fixed anymore

* generation offline for the test parameters used in the unit test

* fixed print statement

* implemented J.I. comments

* implemented J.I. comments

* units problem, TODOs: assertNotistance and unittest for EmpParam

* docstring: added s and removed :

* changed integer value `alpha` to float

9625 of 11097 relevant lines covered (86.74%)

0.87 hits per line

Source Files on job 463.2 (DISTRIB="conda" PYTHON_VERSION="3.5" INSTALL_MKL="true" NUMPY_VERSION="1.10.4" SCIPY_VERSION="0.16.1" PANDAS_VERSION="0.16.2" SIX_VERSION="1.10.0" COVERAGE="true")
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