walkwithfastai.github.io

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The normalize object does not have "from_tab" attribute. > --------------------------------------------------------------------------- > AttributeError Traceback (most recent call last) > [](https://localhost:8080/#) in () > ----> 1 procs = [Categorify(classes), Normalize.from_tab(means, stds), FillMissing(fill_strategy=FillStrategy.median,...

thethirdghost

Hi all, Actually two issues with running https://walkwithfastai.com/Binary_Segmentation in Google Colab. **First Issue:** The download is broken: one the google drive URL no longer works directly. You need to download...

pol-todo

Bumps [activesupport](https://github.com/rails/rails) from 6.0.3.4 to 6.0.6.1. Release notes Sourced from activesupport's releases. v6.0.6.1 Active Support No changes. Active Model No changes. Active Record Make sanitize_as_sql_comment more strict Though this method...

dependabot[bot]

tab_ae.ipynb; could not do one pass in your dataloader

1

where: 03_tab.ae.ipynb, cell/command: to = TabularPandasIdentity(df, [Categorify, FillMissing, Normalize], cat_names, cont_names, splits=RandomSplitter(seed=32)(df)) dls = to.dataloaders(bs=1024) error: = .iLoc requires numeric indexers, got [None] cannot do _one_pass

lzumot

Fix: adding import nececeary for using attention layers as bottlenecks

1

Adding the following import from fastai.layers import _get_norm in order for the following code to be able to run def BatchNormZero(nf, ndim=2, **kwargs):\n", " \"BatchNorm layer with `nf` features and...

rasmuspjohansson