from fastai.gen_doc.nbdoc import *
from fastai.train import *
from fastai.vision import *


show_doc(fit_one_cycle)

show_doc(one_cycle_scheduler)

show_doc(lr_find)

show_doc(to_fp16)

show_doc(to_fp32)

show_doc(mixup)

show_doc(ClassificationInterpretation)

path = untar_data(URLs.MNIST_SAMPLE)
data = ImageDataBunch.from_folder(path)

show_doc(ShowGraph, title_level=3)

show_doc(ShowGraph.on_epoch_end)

show_doc(GradientClipping)

learn = cnn_learner(data, models.resnet18, metrics=accuracy,
    callback_fns=partial(GradientClipping, clip=0.1))
learn.fit(1)

show_doc(GradientClipping.on_backward_end)

show_doc(BnFreeze)

learn = cnn_learner(data, models.resnet18, metrics=accuracy, callback_fns=BnFreeze)
learn.fit(1)

show_doc(BnFreeze.on_epoch_begin)

show_doc(ClassificationInterpretation.plot_top_losses)

show_doc(ClassificationInterpretation.from_learner)

show_doc(ClassificationInterpretation.top_losses)

show_doc(ClassificationInterpretation.confusion_matrix)

show_doc(ClassificationInterpretation.most_confused)

show_doc(ClassificationInterpretation.plot_confusion_matrix)

show_doc(ClassificationInterpretation.plot_multi_top_losses)