datarobot (version 2.14.2)

GetWordCloud: Retrieve word cloud data for a model.

Description

Retrieve word cloud data for a model.

Usage

GetWordCloud(project, modelId, excludeStopWords = FALSE)

Arguments

project

character. Either (1) a character string giving the unique alphanumeric identifier for the project, or (2) a list containing the element projectId with this identifier.

modelId

character. Unique alphanumeric identifier for the model of interest.

excludeStopWords

logical. Optional. Set to TRUE if you want stopwords filtered out the response.

Value

data.frame with the following components:

ngram

Character string: word or ngram value

coefficient

Numerical: value from [-1.0, 1.0] range, describes effect of this ngram on the target. A large negative value means a strong effect toward the negative class in classification projects and a smaller predicted target value in regression projects. A large positive value means a strong effect toward the positive class and a larger predicted target value respectively

count

Integer: number of rows in the training sample where this ngram appears

frequency

Numerical: value from (0.0, 1.0] range, frequency of this ngram relative to the most frequent ngram

isStopword

Logical: true for ngrams that DataRobot evaluates as stopwords

Examples

# NOT RUN {
  projectId <- "59a5af20c80891534e3c2bde"
  modelId <- "5996f820af07fc605e81ead4"
  GetWordCloud(projectId, modelId)
# }