CSVLogger
Basic class handling tweaks of the training loop by changing a 'Learner' in various events
CSVLogger(fname = "history.csv", append = FALSE)
fname |
file name |
append |
append or not |
None
## Not run: URLs_MNIST_SAMPLE() # transformations tfms = aug_transforms(do_flip = FALSE) path = 'mnist_sample' bs = 20 #load into memory data = ImageDataLoaders_from_folder(path, batch_tfms = tfms, size = 26, bs = bs) learn = cnn_learner(data, resnet18(), metrics = accuracy, path = getwd()) learn %>% fit_one_cycle(2, cbs = CSVLogger()) ## End(Not run)
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