Hello, I started the ml elixir book, the first code in this book has error for me :smiling_face_with_tear: require Explorer.DataFrame, as: DF iris = Explorer.Datasets.iris() cols = ["sepal_width", "sepal_length", "petal_length", "petal_width"] DF.mutate(iris, for col <- across(cols) do {col.…

[image] shahryarjb: for col <- across(cols) do It seems like Explorer.Query adopted a similar approach to Ecto.Query in its use of ^ for interpolation. reference: Interpolation and Casting | Ecto.Query & Interpolation | Explorer.Query [image] p.s. It’s worth noting that the ^ in Ecto an…

Hey @shahryarjb :wave: I didn’t try and I don’t own the book (yet), but based on the documentation if you want to access to all the columns in a for comprehension loop you just need to use across(). See this section Explorer.Query — Explorer v0.11.1 A for-comprehension can have multiple generato…

These are not all the columns [Screenshot 2023-08-01 at 23.13.55] but based on my top code, it I use for col <- across( ["sepal_width", "sepal_length", "petal_length", "petal_width"]) do it works but the cols = ["sepal_width", "sepal_length", "petal_length", "petal_width"] DF.mutate(iris, f…

Ah I see, sorry I missed that. I guess you can apply a filter based on the column type: DF.mutate(iris, for col <- across(), col.dtype == :float do {col.name, (col - mean(col)) / variance(col)} end ) :thinking: Honestly, I don’t know why the book suggests an usage of the across macro tha…

Yeah, this is tracked here as well: Machine Learning in Elixir: Error in Chapter 1, first code snippet of "Preparing the Data for Training" (page 13) - PragProg Customers - Devtalk It will be fixed when the next version is released

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Undefined variable in across Explorer.DataFrame

Questions & Help Questions

shahryarjb August 1, 2023, 9:13pm 6

I think the author should change it in the book, @seanmor5