spark.glm {SparkR} | R Documentation |
Fits a generalized linear model against a Spark DataFrame.
spark.glm(data, formula, ...) ## S4 method for signature 'SparkDataFrame,formula' spark.glm(data, formula, family = gaussian, epsilon = 1e-06, maxit = 25)
data |
SparkDataFrame for training. |
formula |
A symbolic description of the model to be fitted. Currently only a few formula operators are supported, including '~', '.', ':', '+', and '-'. |
family |
A description of the error distribution and link function to be used in the model. This can be a character string naming a family function, a family function or the result of a call to a family function. Refer R family at https://stat.ethz.ch/R-manual/R-devel/library/stats/html/family.html. |
epsilon |
Positive convergence tolerance of iterations. |
maxit |
Integer giving the maximal number of IRLS iterations. |
a fitted generalized linear model
## Not run: sc <- sparkR.init() sqlContext <- sparkRSQL.init(sc) data(iris) df <- createDataFrame(sqlContext, iris) model <- spark.glm(df, Sepal_Length ~ Sepal_Width, family="gaussian") summary(model) ## End(Not run)