audienceproject / audienceproject/crossbow
So powerful scala library! go on
- Dominant language
- Scala
- Stars
- 45
- Forks
- 2
- PR merge metrics
- No merged PRs in 30d
Description
HI,
Best Pure scala Dataframe normal library, I think if will be popular, next I have some idea to make it universal in scala environment.
now scala dataframe have polar-scala[rust] ,kotlin-dataframe-scala [kotlin], pandas-scala[python], smile-dataframe[scala].
I think crossbow could do more ,support more algorithm like windows function pivot function and so on . support parralism compute
next , to support some feature engineer , like one-hot , embedding ,idf , ida ,standard,buckiet .
final , suppport Tensor with Storch for deeplearning in scala.
best regard
Contributor guide
No contributing guide indexed for this repository
Research direction
No files, tests, or entry points are named. Start by reviewing the existing DataFrame API and narrowing the proposal to one feature, such as window functions, pivoting, parallel computation, feature engineering, or tensor support; done should be defined for that selected feature before implementation begins.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- scala
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100