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added tensorboard instructions
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R/CallbackSetTB.R

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@@ -3,9 +3,10 @@
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#' @name mlr_callback_set.tb
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#'
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#' @description
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#' Logs training loss and validation measures as events that can be tracked using TensorBoard.
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#' Logs training loss, training measures, and validation measures as events.
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#' To view them, use TensorBoard with `tensorflow::tensorboard()` (requires `tensorflow`) or the CLI.
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#' @details
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#' Logs at most every epoch.
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#' Logs events at most every epoch.
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#'
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#' @param path (`character(1)`)\cr
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#' The path to a folder where the events are logged.
@@ -29,7 +30,7 @@ CallbackSetTB = R6Class("CallbackSetTB",
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self$log_train_loss = assert_logical(log_train_loss)
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},
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#' @description
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#' Logs the training loss and validation measures as TensorFlow events.
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#' Logs the training loss, training measures, and validation measures as TensorFlow events.
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on_epoch_end = function() {
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if (self$log_train_loss) {
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private$.log_train_loss()

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