maxent | use Maximum Entropy Model do some experiments

I'm sorry to ask the repeatedly answered question but I just couldn't solve this relating to my specific case, maybe I'm missing something. The error is E/RecyclerView: No adapter attached; skipping layout and I'm not sure, is the problem with an adapter I set or the RecyclerView per se? Also, I was following a tutorial and this was the code that was presented.

(I tried brining the initRecyclerView() into the main onCreateView but no luck. Some answers say to set an empty adapter first and notify it with the changes later but I don't know how to do that.) This is my HomeFragment:

I am trying to create a classifier using NLTK, however, I believe that I have a problem in the format of my data that I cannot get over.

My data looks like this:

I am running the StanfordCoreNLP server through my docker container. Now I want to access it through my python script.

Github repo I'm trying to run: https://github.com/swisscom/ai-research-keyphrase-extraction

I ran the command which gave me the following output:

I am evaluating OpenNLP for use as a document categorizer. I have a sanitized training corpus with roughly 4k files, in about 150 categories. The documents have many shared, mostly irrelevant words - but many of those words become relevant in n-grams, so I'm using the following parameters:

I have a rasterbrick containing daily time series and temperature data (summarised below). How can I create a single raster layer from this rasterbrick showing average number of days (per year) where temperature is <0?

I'm trying to tokenizer long sentences:

I'm have built a couple of species distribution models using sdm:sdm() From these I make predictions using raster::predict() and sdm::ensemble() based on widget input data in a shiny app. (Note that raster::predict() also loads the sdm package automatically if it detects a sdm object). The application works locally, but not on the server shiny.io.

I have stripped he server.R script down and added one element at the time until the error occurs, and that seems to be when either of these functions are run. The error log return

Warning: Error in <-: replacement has length zero

If I move the predict/ensemble function outside of the renderPlot() part of server.R it also returns:

Error in m[i] <- .self$whichMethod(m[i]) : replacement has length zero

I have traced this error to here but have not found anything that indicates why the app should work locally and not on the server. I tried removing all mentions of maxent models as this requires a modification of the local library by adding a maxent.jar file to the dismo/java/ folder. This did not affect anything. I have also updated all essential packages and redeployed.

The shiny script as pasted below and you'll find additional needed files here here and here.

In the R code below, I have included the sentences when looking to compare the manually classified with lexicon dictionary results by positive, negative and neutral (in matrixdata1), the algorithms results for the model produces different outcome in the tables, which is good. However, when executing..

In the R code below, I am introducing train data to create models based on a series of algorithms (e.g. Max Entropy, SVM, etc).

I am having a problem with the algorithm table of results, as each one is showing the exact same output.

Please can you help me to specifically understand the reasons to why each algorithm's table of results is producing exact same output?

Dataset applied in the R code