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Optimize mean_change (fixes issue #542) and correct documentation #574

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merged 1 commit into from
Nov 16, 2019
Merged

Optimize mean_change (fixes issue #542) and correct documentation #574

merged 1 commit into from
Nov 16, 2019

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blu3r4y
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@blu3r4y blu3r4y commented Oct 11, 2019

This uses a simpler formula for calculating mean_change that was already proposed in #542. The proof for this simplification follows. Moreover, I fixed the documentation, because we actually divide by n - 1 because a series with n elements only has n - 1 differences. I also added a few test cases to check some corner cases.

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Coverage remained the same at ?% when pulling 955479f on blu3r4y:optimize-mean-change into c3d35c4 on blue-yonder:master.

@dbarbier
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Likewise mean_second_derivative_central could return (x[-1] - x[-2] - x[1] + x[0]) / (2 * (len(x) - 2))

@nils-braun
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Makes sense to do it like this! Thanks.
@dbarbier do you want to include the fix you mentioned as another PR?

@nils-braun nils-braun merged commit 54be2f1 into blue-yonder:master Nov 16, 2019
@dbarbier
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Okay, will do, thanks for merging these PRs.

dbarbier added a commit to dbarbier/tsfresh that referenced this pull request Nov 16, 2019
This is similar to blue-yonder#542, mean_second_derivative_central has a simpler formula.
Also fix its docstring as had been done in blue-yonder#574.
@blu3r4y blu3r4y deleted the optimize-mean-change branch November 16, 2019 17:02
nils-braun pushed a commit that referenced this pull request Nov 17, 2019
This is similar to #542, mean_second_derivative_central has a simpler formula.
Also fix its docstring as had been done in #574.
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4 participants