Retrieve the respective weight matrix
h2o.weights(object, matrix_id = 1)
object | An H2OModel or H2OModelMetrics |
---|---|
matrix_id | An integer, ranging from 1 to number of layers + 1, that specifies the weight matrix to return. |
# NOT RUN { library(h2o) h2o.init() f <- "https://s3.amazonaws.com/h2o-public-test-data/smalldata/chicago/chicagoCensus.csv" census <- h2o.importFile(f) census[, 1] <- as.factor(census[, 1]) dl_model <- h2o.deeplearning(x = c(1:3), y = 4, training_frame = census, hidden = c(17, 191), epochs = 1, balance_classes = FALSE, export_weights_and_biases = TRUE) h2o.weights(dl_model, matrix_id = 1) # }