audienceproject / audienceproject/crossbow

So powerful scala library! go on

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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

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