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DEAP VS SuperLearner

Compare DEAP VS SuperLearner and see what are their differences

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DEAP logo DEAP

DEAP is an evolutionary computation framework for rapid prototyping and testing of ideas.

SuperLearner logo SuperLearner

SuperLearner is a R package that implements the super learner prediction method and contains a library of prediction algorithms to be used in the super learner.
  • DEAP Landing page
    Landing page //
    2023-10-15
  • SuperLearner Landing page
    Landing page //
    2023-09-15

DEAP videos

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DEAP Assessment

More videos:

  • Review - Deap Vally -- Sistrionix -- ALBUM REVIEW
  • Review - DEAP-Screener

SuperLearner videos

No SuperLearner videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to DEAP and SuperLearner)

DEAP

SuperLearner

Data Science And Machine Learning
29 29%
Data Science And Machine Learning
71% 71
Data Science Tools
29 29%
Data Science Tools
71% 71
Python Tools
30 30%
Python Tools
70% 70
Software Libraries
50 50%
Software Libraries
50% 50

User comments

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What are some alternatives?

When comparing DEAP and SuperLearner, you can also consider the following products

Turi GraphLab Create - GraphLab Create is an extensible machine learning framework that enables developers and data scientists to easily build and deploy apps.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

NumPy - NumPy is the fundamental package for scientific computing with Python

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

DimML - The DimML programming language enables users to run any data solution on any website with only a single line of code.

OpenCV - OpenCV is the world's biggest computer vision library

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