step_embed() "argument is of length zero" error #49
Comments
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That sounds frustrating! Can you create a reprex, a small reproducible example, so that we can find the source of your problem? If you haven't created a reprex before, this is a helpful introduction. |
library(recipes)
#> Loading required package: dplyr
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
#>
#> Attaching package: 'recipes'
#> The following object is masked from 'package:stats':
#>
#> step
library(embed)
rec <- recipe(Case~AnimacyObj+ Participants+ AgencySubj, data=causee)%>%
step_embed(Participants,
outcome=vars(Case),
num_terms=1,
hidden_units=10,
options = embed_control(epochs = 25, validation_split=0.2)) %>%
prep()
#> Error in is_tibble(data): object 'causee' not foundCreated on 2020-07-05 by the reprex package (v0.3.0) |
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I see now it says my dataset is not a tibble? So I should just transform it? |
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No, in that reprex, you haven't loaded any data at all, so that's an error for not finding |
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I can't get my dataset to be found. It certainly is loaded. library(recipes)
#> Loading required package: dplyr
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
#>
#> Attaching package: 'recipes'
#> The following object is masked from 'package:stats':
#>
#> step
library(embed)
library(datapasta)
dpasta(causee)
#> Error in is_tibble(input): object 'causee' not found
rec <- recipe(Case~AnimacyObj+ Participants+ AgencySubj, data=causee)%>%
step_embed(Participants,
outcome=vars(Case),
num_terms=1,
hidden_units=10,
options = embed_control(epochs = 25, validation_split=0.2)) %>%
prep()
#> Error in is_tibble(data): object 'causee' not foundCreated on 2020-07-05 by the reprex package (v0.3.0) |
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Take a look at the animated GIF in this section, and notice when you get out some output that can be pasted into a reprex (the The idea here, which this explains really well if you can take some time to look through the slides, is to create a self-contained, rigorous example (including containing insides it a hopefully small dataset that reproduces your problem) so that others can understand your problem. |
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Thanks, here is what I got now. library(recipes)
#> Loading required package: dplyr
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
#>
#> Attaching package: 'recipes'
#> The following object is masked from 'package:stats':
#>
#> step
library(embed)
library(datapasta)
str(mini_df)
#> Error in str(mini_df): object 'mini_df' not found
dpasta(mini_df)
#> Error in is_tibble(input): object 'mini_df' not found
mini_df=tibble::tribble(
~Case.Participants.AnimacyObj.AgencySubj,
"1 DAT 1 1 1",
"2 DAT 1 1 0",
"3 ACC 1 1 1",
"4 ACC 1 1 0",
"5 ACC 1 1 0",
"6 ACC 0 1 0"
)
head(mini_df)
#> # A tibble: 6 x 1
#> Case.Participants.AnimacyObj.AgencySubj
#> <chr>
#> 1 1 DAT 1 1 1
#> 2 2 DAT 1 1 0
#> 3 3 ACC 1 1 1
#> 4 4 ACC 1 1 0
#> 5 5 ACC 1 1 0
#> 6 6 ACC 0 1 0
rec <- recipe(Case~AnimacyObj+ Participants+ AgencySubj, data=mini_df)%>%
step_embed(Participants,
outcome=vars(Case),
num_terms=3,
hidden_units=10,
options = embed_control(epochs = 25, validation_split=0.2)) %>%
prep()
#> Error in eval(predvars, data, env): object 'Case' not foundCreated on 2020-07-05 by the reprex package (v0.3.0) |
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Can you run |
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Here it is library(recipes)
#> Loading required package: dplyr
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
#>
#> Attaching package: 'recipes'
#> The following object is masked from 'package:stats':
#>
#> step
library(embed)
library(datapasta)
causee= read.csv("causee_only_data.csv", sep=";")
#> Warning in file(file, "rt"): cannot open file 'causee_only_data.csv': No such
#> file or directory
#> Error in file(file, "rt"): cannot open the connection
mini_df= select(causee,Case, Participants, AnimacyObj, AgencySubj)%>%
mutate_if(is.character, factor)
#> Error in select(causee, Case, Participants, AnimacyObj, AgencySubj): object 'causee' not found
rec <- recipe(Case~., data=mini_df)%>%
step_embed(Participants,
outcome=vars(Case),
num_terms=3,
hidden_units=10,
options = embed_control(epochs = 25, validation_split=0.2)) %>%
prep(training=mini_df)
#> Error in is_tibble(data): object 'mini_df' not foundCreated on 2020-07-05 by the reprex package (v0.3.0) Session infodevtools::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
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#> date 2020-07-05
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Can you execute this code and send the output? library(tidymodels)
library(embed)
library(modeldata)
data(ames, package = "modeldata")
rec <-
recipe(Sale_Price ~ MS_SubClass + Neighborhood, data = ames) %>%
step_log(Sale_Price, base = 10) %>%
step_embed(all_predictors(), outcome = vars(Sale_Price))
rec %>% prep()
tensorflow::tf_version()
rec %>% prep() |
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Yes, thanks for your help by the way. library(tidymodels)
#> ── Attaching packages ────────────────────────────────────── tidymodels 0.1.0 ──
#> ✓ broom 0.5.6 ✓ recipes 0.1.13
#> ✓ dials 0.0.7 ✓ rsample 0.0.7
#> ✓ dplyr 1.0.0 ✓ tibble 3.0.1
#> ✓ ggplot2 3.3.2 ✓ tune 0.1.0
#> ✓ infer 0.5.2 ✓ workflows 0.1.1
#> ✓ parsnip 0.1.1 ✓ yardstick 0.0.6
#> ✓ purrr 0.3.4
#> ── Conflicts ───────────────────────────────────────── tidymodels_conflicts() ──
#> x purrr::discard() masks scales::discard()
#> x dplyr::filter() masks stats::filter()
#> x dplyr::lag() masks stats::lag()
#> x recipes::step() masks stats::step()
library(embed)
library(modeldata)
data(ames, package = "modeldata")
rec <-
recipe(Sale_Price ~ MS_SubClass + Neighborhood, data = ames) %>%
step_log(Sale_Price, base = 10) %>%
step_embed(all_predictors(), outcome = vars(Sale_Price))
rec %>% prep()
#> Error in if (is.na(b)) return(1L): argument is of length zero
tensorflow::tf_version()
#> NULL
rec %>% prep()
#> Error in if (is.na(b)) return(1L): argument is of length zeroCreated on 2020-07-06 by the reprex package (v0.3.0) |
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Can you run this command twice and send the results? tensorflow::tf_config() |
tensorflow::tf_config()
#> Installation of TensorFlow not found.
#>
#> Python environments searched for 'tensorflow' package:
#> /Users/ggu020/Library/r-miniconda/envs/r-reticulate/bin/python3.6
#>
#> You can install TensorFlow using the install_tensorflow() function.
#> Created on 2020-07-06 by the reprex package (v0.3.0) tensorflow::tf_config()
#> Installation of TensorFlow not found.
#>
#> Python environments searched for 'tensorflow' package:
#> /Users/ggu020/Library/r-miniconda/envs/r-reticulate/bin/python3.6
#>
#> You can install TensorFlow using the install_tensorflow() function.
#> Created on 2020-07-06 by the reprex package (v0.3.0) |
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You can install TensorFlow using the |
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I followed the step of installing tensor flow and it works now. I had installed it via install.packages(), I didn't know it required a different method. Thanks for your help! |
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Sooo... here's why this is confusing (for everyone). There is a bug in the CRAN version of For some reason, this does work in a reprex. I should have been more clear; it needed to be run (without reprex) in a new R session twice. The overall solution is to install the version of |
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Ohh I see! Ok, thanks for the clarification! |
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This issue has been automatically locked. If you believe you have found a related problem, please file a new issue (with a reprex: https://reprex.tidyverse.org) and link to this issue. |
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I'm trying to learn how to do entity embedding for categorical variables but I keep getting this error and I can't figure out why.
rec <- recipe(Case~AnimacyObj+ Participants+ AgencySubj, data=causee)%>%
step_embed(AnimacyObj,Participants, AgencySubj,
outcome=vars(Case),
num_terms=3,
hidden_units=10,
options= embed_control(epochs = 25, validation_split=0.2))%>%
prep()
Error in if (is.na(b)) return(1L) : argument is of length zero
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