Comments (4)
Just want to jump in and say I have been thinking about ways to marry Explorer and Axon. Specifically being able to pass in a Dataframe without having to convert to another representation and then getting a Dataframe back. But, perhaps there's another standard we can unify on within the ecosystem so that ML libraries like Axon and the scikit-learn equivalent can work with the same representations - that way we can pretty much plug-and-play with different models across libraries without having to worry about how data should be represented. And libraries like Explorer can have some idea of how data might be used later on.
Relevant issues in the ecosystem:
from explorer.
This is a pretty interesting one. I know that a scikit-learn
equivalent for the Nx
ecosystem is being worked on. I don't think Explorer
is the right place for much of that functionality. However, there is a cost to copying data from its Rust representation to Elixir to then carry out these computations. I'll have to give it some thought.
@josevalim do you have an opinion on this? In R and Python you can typically pass a dataframe as the data for regression, and in an ideal situation (e.g. tidymodels) your output is a dataframe too. Forecasting/time series is another area where this kind of thing shines and you'd want to pass in a dataframe directly.
from explorer.
We are exploring something like scikit-learn on top of Nx, so it may be less general purpose than scikit-learn. It may also be worth it to have some of those ideas on top of explorer too, maybe in this or as a separate library. I think we don't need to make a decision for now and we can wait until things develop a bit. And of course, others are free to explore this too!
from explorer.
As I believe https://github.com/elixir-nx/scholar will fill this niche (once we've implemented the Nx.Container
protocol), I'm closing this as it won't live here.
from explorer.
Related Issues (20)
- Use of `..` nullary operator in Release 0.5.3 introduced Elixir 1.4 dependency
- ISO 8601 DateTime format with timezone info can't be parsered HOT 5
- Allow diff of date and datetime series HOT 20
- DataFrame.iter_rows method? HOT 3
- libexplorer-v0.5.6-nif-2.16-aarch64-apple-darwin.so nif panic HOT 6
- Min not working for datetime[NS] HOT 4
- Largish CSV hangs on from_csv/load_csv HOT 8
- Return {:error, string} instead of {:error, {:polars, string()}} HOT 3
- [idea] Allow pivot_wider on categorical values HOT 12
- load_csv for a single-column csv drops the first row if nil (nit) HOT 1
- Missing Window Functions from Polars HOT 6
- AVX support HOT 1
- Support relocating columns
- Query Engine HOT 1
- Precompiled NIFs for freebsd HOT 2
- Add parse datetime from string HOT 1
- add DataFrame.frequencies/2 HOT 1
- Q: How to specify that a number is an epoch when reading a Parquet file? HOT 4
- Normalise errors to return `Exception.t()` from the backend HOT 6
- Document `:backend` and `:lazy` options for `from_*` IO functions HOT 1
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from explorer.