lambdo

Feature engineering and machine learning: together at last! (by asavinov)

Lambdo Alternatives

Similar projects and alternatives to lambdo

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better lambdo alternative or higher similarity.

lambdo reviews and mentions

Posts with mentions or reviews of lambdo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-22.
  • Why isn't differential dataflow more popular?
    13 projects | news.ycombinator.com | 22 Jan 2021
    It will return the sum of all values in column A. For large tables it will take some time to compute the result. Now assume we append a new record and want to get the new result. The traditional approach is execute this query again. A better approach is to process this new record only by adding its value in A to the result of the previous query. It is important in (stateful) stream processing.

    Something similar is implemented in these libraries which however rely on a different data processing conception (alternative to map-reduce):

    https://github.com/asavinov/prosto - Functions matter! No join-groupby, No map-reduce.

    https://github.com/asavinov/lambdo - Feature engineering and machine learning: together at last!

  • Feature Processing in Go
    3 projects | news.ycombinator.com | 21 Dec 2020
    I find this project quite interesting because sklearn has a good general design including data transformations and it does make sense to provide compatible functionality for Go.

    Feature engineering in general is a hot topic and especially if features are not simple hard-coded transformations but rather can be learned from data. For example, I developed a toolkit intended for combining feature engineering and ML:

        https://github.com/asavinov/lambdo - Feature engineering and machine learning: together at last!

Stats

Basic lambdo repo stats
3
22
0.0
over 3 years ago

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