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I am successfully using h2o.word2vec function to load pre-trained GloVe embeddings in R.
embed_model <- h2o.word2vec(pre_trained = glove, vec_size = 300)
df_doc_vecs <- h2o.transform(embed_model, tokenized_words, aggregate_method = "AVERAGE")
However, because my production environment will not support H2O, I need to find another package with similar functionality. Specifically I just need to be able to replace h2o.word2vec and h2o.transform with something else to:
[1] Use GloVe or any other pre-trained embeddings
[2] Create sentence or document level vectors out of them
Any suggestions? Has to be in R...
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Is there a R package for this? I´m looking for something similar to qrencoder but in 1D
For now, my walkaround solution is to use python-barcode through reticulate but I would like to use a R library.
library(reticulate)
barcode <- import("barcode")
name <- barcode$generate('EAN13', '7750243002455', output='barcode_svg')
My ultimate goal is to show barcodes of my products on a Shiny app
Have a look at the zintr package, which uses zint.
barcode_print(8675309, "barcode1.png")
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I want to classify Sentinel-2 data using ANN. If anyone knows how to do it in R. Please let's me know
df<-read.csv(file.choose())
head(df)
You can use this code to read data in R
Set working directory before running this code
Sentinel<-list.files(pattern = "tif$",full.names = T)
Sentinel<-stack(Sentinel)
# Check the data
head(Sentinel)
Sentinel
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I want to generate random points of uniform density over the unit ball [-1,1]^d in R.
Are there any R packages which offer this functionality?
I am sure i can do this myself by extending this answer: https://math.stackexchange.com/a/87238/250498 to d dimensions.
But i want to know if there is any function or package in R that already does this.
It would be useful if there is a package which can generate standard multivariate distributions instead of me having to sample them myself using rejection sampling or other techniques.
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I am aware of the http://cran.r-project.org/web/packages/glmnet/index.html and http://cran.r-project.org/web/packages/penalized/index.html packages, but neither of them seems to support Gamma GLMs.
I'd like to utilize elastic net for gamma GLMs in R, what is the easiest way to do it?
(meta: also debating whether this should go on Cross Validated for better responses?)
You can use the HDtweedie package. Gamma is a special case of the Tweedie distribution with p = 2. It's a relatively new package, so expect some teething problems.
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Is there package for R to boost different algorithms? For example Random Forest and neural networks. As I understand, packages ada and gbm can only boost Decision Trees.
Thank you.
take a look at the packages
caret http://cran.r-project.org/web/packages/caret/index.html
C50 http://cran.r-project.org/web/packages/C50/index.html
GAMBoost http://cran.r-project.org/web/packages/GAMBoost/index.html
mboost http://cran.r-project.org/web/packages/mboost/index.html