dotnet / dotnet/machinelearning
Let DataFrame support UInt32 columns to be compatible with MapValueToKey
Open
area-DataFrame
enhancement
- Dominant language
- C#
- Stars
- 9.4k
- Forks
- 2k
- Avg merge
- 2d 20h
- Merged PRs (30d)
- 11
Description
ML.NETs Transforms.Conversion.MapValueToKey() adds a UInt32 column with an auto generated integer category key.
Unfortunately the resulting dataview crashes when trying to convert to ToDataFrame(), because it does not support UInt32.
However converting to DataFrame is essential to easily display the results in a Jupyter Notebook (which works nicely in VS Code for DataFrames).
Contributor guide
Research direction
Start by locating the ToDataFrame conversion and its UInt32 type handling, then reproduce the MapValueToKey flow described in the issue. Done means a dataview containing the generated UInt32 key converts to a DataFrame successfully and can be displayed in a Jupyter Notebook.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- csharp, jupyter-notebook
- Domain
- data, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100