- Revert options helpers to if statements since the OFF condition is not
applied when OPTIONS_EXCLUDE is used
- Move most of the OpenCV modules from the graphics/opencv-core port to
graphics/opencv, leaving opencv-core as just the bare minimum required
for building ffmpeg with OpenCV support
- Install examples for python and java bindings
- Add new slave port graphics/opencv-java: Java bindings for OpenCV
- Bump PORTREVISION and make dependency adjustments and fixes for
dependent ports
- Add UPDATING entry
Since this patch converts all affected ports, bsd.cran.mk no longer supports
NO_STAGE and errors out if NO_STAGE is set.
Exp-run: ports/184216
Reviewed by: bdrewery
Approved by: portsmgr, wen
Mate is a lite desktop forked from gnome2.
Most of the work is done by Jeremy Messenger (mezz@). The only thing I did
was update a few ports to later 1.6 release and attempting to keep up with
ports infra changes. Resulting bugs are all mine.
Mate is a sort of replacement for Gnome 2. So people wanting to keep a
Gnome 2 like desktop should switch. Gnome 2 will be replaced by Gnome 3
in the near future. This switch will be announce with a transition time
so people have more time to switch if they haven't already.
This release was made possible by everyone that send friendly pokes to
keep mate on my mind.
Approved by: portmgr (bapt)
Statsmodels is a Python package that provides a complement to scipy for
statistical computations including descriptive statistics and estimation and
inference for statistical models.
Main Features:
* linear regression models: GLS (including WLS and LS aith AR errors) and OLS.
* glm: Generalized linear models with support for all of the one-parameter
exponential family distributions.
* discrete: regression with discrete dependent variables, including Logit,
Probit, MNLogit, Poisson, based on maximum likelihood estimators
* rlm: Robust linear models with support for several M-estimators.
* tsa: models for time series analysis - univariate: AR, ARIMA; multivariate:
VAR and structural VAR
* nonparametric: (Univariate) kernel density estimators
* datasets: Datasets to be distributed and used for examples and in testing.
* stats: a wide range of statistical tests, diagnostics and specification tests
* iolib: Tools for reading Stata .dta files into numpy arrays, printing table
output to ascii, latex, and html
* miscellaneous models
* sandbox: statsmodels contains a sandbox folder with code in various stages of
* developement and testing which is not considered "production ready", including
Mixed models, GARCH and GMM estimators, kernel regression, panel data models.
WWW: https://www.github.com/statsmodels/statsmodels
PR: ports/183932
Submitted by: Johannes Jost Meixner <xmj chaot.net>
