(self)
| 26 | dls = TabularDataLoaders.from_csv( |
| 27 | "/input/tests/data/train.csv", |
| 28 | cont_names=["pixel" + str(i) for i in range(784)], |
| 29 | y_names="label", |
| 30 | procs=[FillMissing, Categorify, Normalize], |
| 31 | ) |
| 32 | learn = tabular_learner(dls, layers=[200, 100]) |
| 33 | with learn.no_bar(): |
| 34 | learn.fit_one_cycle(n_epoch=1) |
| 35 | |
| 36 | self.assertGreater(learn.smooth_loss, 0) |
nothing calls this directly
no outgoing calls
no test coverage detected