ml_corr

From sparklyr v0.9.1 by Javier Luraschi

Compute correlation matrix

Usage

ml_corr(x, columns = NULL, method = c("pearson", "spearman"))

Arguments

x: A tbl_spark.
columns: The names of the columns to calculate correlations of. If only one column is specified, it must be a vector column (for example, assembled using ft_vector_assember()).
method: The method to use, either "pearson" or "spearman".

Value

A correlation matrix organized as a data frame.

Examples

# NOT RUN {
sc <- spark_connect(master = "local")
iris_tbl <- sdf_copy_to(sc, iris, name = "iris_tbl", overwrite = TRUE)

features <- c("Petal_Width", "Petal_Length", "Sepal_Length", "Sepal_Width")

ml_corr(iris_tbl, columns = features , method = "pearson")
# }

Documentation reproduced from package sparklyr, version 0.9.1, License: Apache License 2.0 | file LICENSE

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