I am working on a twitter sentiment analysis for which I have used R to run the sentiment for me. I am referring to very helpful article from Bora Beran here:
Sentiment Analysis
I was successfully able to run the R script yesterday using R server and even the sentiments worked fine. But today the same script shows the error as "could not find classify_polarity().
Please note I have downloaded the sentiment package from archive in R and it is working fine in R Studio. Similarly I have checked the connection in Tableau and it shows connection successfully.
Made some changes to the script as :
SCRIPT_STR('library(sentiment);
classify_polarity(.arg1,algorithm=”bayes”,verbose=TRUE)[,4]',
ATTR([Status Text]))
The error I get is written down below and this png file shows it in Tableau. Please advice what could be the possible issue.
Error in base::parse(text= .cmd):
<text>:2:36: unexpected input 1: library(sentiment);
2: classify_polarity(.arg1,algorithm= �^
Related
I wrote a script for downloading and analyzing 13F filing from a select number of fund managers using the great package edgarWebR in R. Unfortunately the script stopped working after my update to version 1.1.0 of edgarWebR. I get the following error message whilst running this part of the script:
map(filings_incl_href$href, filing_details)
filings_incl_href$href contains the hrefs of all the fund managers 13F-filings, e.g. the first one is: https://www.sec.gov/Archives/edgar/data/1540531/000154053121000004/0001540531-21-000004-index.htm
Here's the error message:
No encoding supplied: defaulting to UTF-8.
Error in check_result(res) :
EDGAR request blocked from Undeclared Automated Tool.
Please visit https://www.sec.gov/developer for best practices.
See https://mwaldstein.github.io/edgarWebR/index.html#ethical-use--fair-access for your responsibilities
Consider also setting the environment variable 'EDGARWEBR_USER_AGENT
Not sure what is causing this. Any help would be greatly appreciated.
I am a relatively new R user. I've been knitting documents in the past using RStudio to create HTML and PDF outputs of my R files.
I have no idea what changed, but approximately 1 month ago I tried to knit a document and got the error portrayed in the picture. I am borderline-competent at R on my best days but otherwise have virtually no knowledge of anything "computer" or "coding" outside of what I've learned from DataCamp regarding R. I have been trying to figure out what happened so that I can continue knitting files, but legitimately do not understand.
I would be more than happy to provide any additional information/context that you need to help me solve this problem but, unfortunately, I just don't know where to start or what's required.
I know this is a bit of a bullshit question and I've tried to avoid asking about it for a while b/c I know I don't know enough to ask it correctly, but I'm at a point where I just want to start knitting again and I'll do whatever it takes to get back to that!
The things I've tried so far are:
Downloading and installing the newest version of R
Downloading and installing RStudio again
Downloading and installing MacTeX again
Trying random solutions from Stack Overflow that involve writing things in my "Terminal" (which I subsequently erase when they don't work).
I am using a MacBook Pro running macOS Catalina 10.15.7 for what it's worth.
I've copied and pasted the text of the error message below:
Error in file(filename, "r", encoding = encoding) :
cannot open the connection
Calls: source -> file
In addition: Warning message:
In file(filename, "r", encoding = encoding) :
cannot open file 'renv/activate.R': No such file or directory
Execution halted
I had the same error and didn't want to run my Rmd files from the console, so there is the solution for using the button again (which I found here):
> usethis::edit_r_profile()
* Modify 'C:/Users/User/Documents/.Rprofile'
* Restart R for changes to take effect
The output then shows you the path to your file. Just copy that path to the address bar in your explorer and choose the program you want to open it with. I chose the normal text editor. Delete "source('renv/activate.R.')" from this file, restart R, and everything should work fine again.
I have an R script which takes as input an excel file with two columns containing dates-values and it gives as output 3 dates with the corresponding prediction values. I have already successfully implemented it in Azure Machine Learning Studio using three nodes. One containing the zipped packages I use, one with the input .csv file and the last one with the R script.
The problem is when I deploy it as a web service and I try to give as input new values for Col1 and Col2, I receive the following error.
FailedToParseValue: Failed to parse value '90000, 950000, 970000' as type 'System.Double'., Error code: LibraryExecutionError, Http status code:400
The zipped libraries I use attached are: Hmisc, gdata, forecast, lubridate, fma, expsmooth, ggplot2, tsibble, fpp2, and plyr. I have also tried using the notebooks provided but no good luck as I always face some kind of problem with package installation. Moreover, I tried to follow this approach https://azure.github.io/azureml-sdk-for-r/articles/train-and-deploy-to-aci/train-and-deploy-to-aci.html locally from R Studio but I have difficulty in adapting it to my case.
Any help would be greatly appreciated!
I didn't have any success installing packages via a zip. However the following worked for me in an Execute R Script and installed all dependancies also.
if(!require(package)) install.packages("package",repos = "https://ftp.heanet.ie/mirrors/cran.r-project.org/")
Make sure that your repo is from CRAN in your country.
I am using Rstudio on Google cloud Compute engine and using examples on
https://tensorflow.rstudio.com/keras/
My final objective is to be able to deploy R - model to AI platform and get predictions out of it. I have tried many examples using keras,tfestimators,tensorflow but none of them are able to run completely. All of the only run till training but when Its time to export_savemodel() they all fail. Local prediction,evaluation works fine.
model %>% evaluate(x_test, y_test) # work fine in Rstudio
model %>% predict_classes(x_test) # work fine in Rstudio
Want my model version to appear here.
Issues:
After completing the training , I am unable to export model to GCS bucket as command for this is failing.
export_savedmodel(model, "savedmodel")
Error message:
Error in export_savedmodel.keras.engine.training.Model(model,"savedmodel") :
'export_savedmodel()' is currently unsupported under the TensorFlow
Keras implementation, consider using 'tfestimators::keras_model_to_estimator()'.
Then I changed my code to below but still get error message:
library(tfestimators)
tfe_model <- tfestimators::keras_model_to_estimator(model)
export_savedmodel(tfe_model, "savedmodel")
Error:
Error in export_savedmodel.tf_estimator(tfe_model, "savedmodel") :
Currently only classifier and regressor are supported. Please specify a
custom serving_input_receiver_fn.
What I need:
How can I fix the issue ?
Or any guidance on how to deploy R packages on Google cloud platform will be appreciated.
I've been trying to produce Kernel Density Estimates using the "kde" tool from
Geospatial Modeling Environment (GME, see documentation on kde). But I keep getting the following error regardless of valid input:
Code:
kde(in="C:\Users\Richard\Desktop\KDE_Scripting_Local\kde.gdb!BB_90sJAN",
out="C:\Users\Richard\Desktop\KDE_Scripting_Local\kde.gdb!KDE_BB90sJAN",
bandwidth="100000", cellsize=6000, kernel="QUARTIC",
ext="C:\Users\Richard\Desktop\KDE_Scripting_Local\kde.gdb!rect_extent");
Error message:
Error: The command text could not be interpreted. Please check the syntax of the command. Error: An important error has occurred. Please include the information below if you submit a query about this error.
Exception from HRESULT: 0x8004025A
The most frustrating part is that I had this exact code working last week. I tried restarting, reinstalling GME, copying the input to a new GDB as suggested here, subprocesses with PYTHON 2.7. Everything still produces this error with the same HRESULT.
I'm running GME Version 0.7.3.0, ArcGIS For Desktop 10.2.2, R Version 3.1.1, and Python 2.7 on Windows 7. There's not much community support for GME, so any help here would be much appreciated.