abresler / markovifyr Goto Github PK

Markovify wrapper for R

R 100.00%

markovifyr's Issues

Readme error: could not find function "future_map_dfr"

Running the readme example I get the error:

Error in future_map_dfr(., function(x) { : 
  could not find function "future_map_dfr"

The function future_map_dfr is called here and here but doesn't appear to be in the package or any dependencies.

I'm guessing markovifyr is just missing a dependency on furrr, which has a function by this name. The readme code works if I install and load furrr.

python issue

I've installed markovify and markovifyR using the installation instructions, but I'm getting an error when I try to run generate_markovify_model().

I'm trying to run
model <- generate_markovify_model( input_text = sayings$text, max_overlap_ratio = 0.85, max_overlap_total = 25 )

And get the error message

Error in initialize_python(required_module, use_environment) : Your current architecture is 64bit however this version of Python is compiled for 32bit.

Do I need to install 32bit Python or is there a way to use 64bit with markovifyR?

markovifyR crashing on some corpuses?

So for example, this:

library(tidyverse)
library(gutenbergr)
library(markovifyR)

# system("pip install markovify")

# Step 1 -- Build the Corpus ----------------------------------------------
texts_emerson <- gutenberg_works(author == "Emerson, Ralph Waldo") %>% pull(gutenberg_id) %>% gutenberg_download(.)

texts <- texts_emerson %>% 
  sample_n(.,5000) %>% 
  pull(text) %>% 
  discard(. == "")

# Step 2 -- Build the Model -----------------------------------------------
markov_model <-
  generate_markovify_model(
    input_text = texts,
    markov_state_size = 2L,
    max_overlap_total = 25,
    max_overlap_ratio = .85
  )

Works fine, but this:

library(tidyverse)
library(gutenbergr)
library(markovifyR)

# system("pip install markovify")

# Step 1 -- Build the Corpus ----------------------------------------------
texts_shake <- gutenberg_works(author == "Shakespeare, William") %>% pull(gutenberg_id) %>% gutenberg_download(.)

texts <-
  texts_shake %>% 
  sample_n(.,5000) %>% 
  pull(text) %>% 
  discard(. == "")


# Step 2 -- Build the Model -----------------------------------------------
markov_model <-
  generate_markovify_model(
    input_text = texts,
    markov_state_size = 2L,
    max_overlap_total = 25,
    max_overlap_ratio = .85
  )

Seems to crash my R session. Does it crash for you all?

My session:

R version 3.5.2 (2018-12-20)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)

Matrix products: default

locale:
[1] LC_COLLATE=English_United States.1252 
[2] LC_CTYPE=English_United States.1252   
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C                          
[5] LC_TIME=English_United States.1252    

attached base packages:
[1] stats     graphics  grDevices utils     datasets 
[6] methods   base     

loaded via a namespace (and not attached):
[1] compiler_3.5.2 tools_3.5.2    yaml_2.1.19

Installation instructions

Nice package, thank you!

It might make sense to have the Python installation instruction under the installation header?

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