Displaying 5 results from an estimated 5 matches for "pre_process".
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2010 Mar 20
0
Problem with videos on heroku
...ms/1.8/gems/rack-1.0.1/lib/rack/urlmap.rb:
40:in `call''
/home/heroku_rack/lib/date_header.rb:14:in `call''
/usr/local/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/builder.rb:
60:in `call''
/usr/local/lib/ruby/gems/1.8/gems/thin-1.0.1/lib/thin/
connection.rb:80:in `pre_process''
/usr/local/lib/ruby/gems/1.8/gems/thin-1.0.1/lib/thin/
connection.rb:78:in `catch''
/usr/local/lib/ruby/gems/1.8/gems/thin-1.0.1/lib/thin/
connection.rb:78:in `pre_process''
/usr/local/lib/ruby/gems/1.8/gems/thin-1.0.1/lib/thin/
connection.rb:57:in `process'...
2010 Sep 19
4
Rails 2.3.8 - InvalidAuthenticityToken problem. URGENT!
...InvalidAuthenticityToken
(ActionController::InvalidAuthenticityToken):
/home/heroku_rack/lib/static_assets.rb:9:in `call''
/home/heroku_rack/lib/last_access.rb:15:in `call''
/home/heroku_rack/lib/date_header.rb:14:in `call''
thin (1.2.6) lib/thin/connection.rb:76:in `pre_process''
thin (1.2.6) lib/thin/connection.rb:74:in `catch''
thin (1.2.6) lib/thin/connection.rb:74:in `pre_process''
thin (1.2.6) lib/thin/connection.rb:57:in `process''
thin (1.2.6) lib/thin/connection.rb:42:in `receive_data''
eventmachine (0.12.10) lib/e...
2024 Jan 11
0
NHW v0.3.0-rc8 new version
Hi,
For those interested, I have released the NHW v0.3.0-rc8 new version.
I continue to fine-tune the nhw_kernel weights and pre_processing.This new
version seems then to have more precision and a better visual quality.
-Just a quick note, for now I can not explain why it works...-
More at: http://nhwcodec.blogspot.com/
<http://nhwcodec.blogspot.com/>Do not hesitate to let me know if you agree
with this new version, else I...
2024 Jan 24
0
NHW v0.3.0-rc10 new version
Hello,
For those interested (and yes, also to keep the topic warm), I have
released the NHW v0.3.0-rc10 new version.
I continue to fine-tune the nhw_kernel weights and pre_processing.This new
version has then more precision and a better visual quality.
More at: http://nhwcodec.blogspot.com/
Cheers,
Raphael
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2012 May 09
0
Failed Convergence when using mi to generate synthetic data
...1
for(j in 1:dim(diamonds1)[2]) {
emptydiamonds1[,j] <- NA
}
#throw up a dummy variable for imputation
diamonds1$impute=0
emptydiamonds1$impute=1
#package the two into one dataset
d2 <-rbind(diamonds1, emptydiamonds1)
str(d2)
#run in.info
miinfo <-mi.info(d2)
#pre_process
mi_pre <-mi.preprocess(d2)
#impute
Imp1 <-mi(mi_pre, n.iter=49)
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