Return the respective bias vector
h2o.biases(object, vector_id = 1)
object | An H2OModel or H2OModelMetrics |
---|---|
vector_id | An integer, ranging from 1 to number of layers + 1, that specifies the bias vector to return. |
# NOT RUN { library(h2o) h2o.init() f <- "https://h2o-public-test-data.s3.amazonaws.com/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.biases(dl_model, vector_id = 1) # }