Software Alternatives & Reviews
Register   |   login

htm.java VS Naive Bayesian Classifer in APL

Compare htm.java VS Naive Bayesian Classifer in APL and see what are their differences


htm.java is a Hierarchical Temporal Memory implementation in Java, it provide a Java version of NuPIC that has a 1-to-1 correspondence to all systems, functionality and tests provided by Numenta's open source implementation.

Naive Bayesian Classifer in APL is a simple naive bayesian classifier to gain independent probabilistic assumptions on test input.
htm.java Landing Page
htm.java Landing Page
Naive Bayesian Classifer in APL Landing Page
Naive Bayesian Classifer in APL Landing Page

htm.java details

Categories
Data Science And Machine Learning Data Dashboard Data Science Tools
Website github.com  
Pricing URL-
Details $-
Platforms
-
Release Date-

Naive Bayesian Classifer in APL details

Categories
Data Science And Machine Learning Data Dashboard Home
Website github.com  
Pricing URL-
Details $-
Platforms
-
Release Date-

Category Popularity beta

0-100% (relative to htm.java and Naive Bayesian Classifer in APL)
100
100%
0%
0
0
0%
100%
100
98
98%
2%
2

What are some alternatives?

When comparing htm.java and Naive Bayesian Classifer in APL, you can also consider the following products

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

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

OpenCV - OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer...

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

WEKA - WEKA is a set of powerful data mining tools that run on Java.

Dataiku - Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

User comments

Share your experience with using htm.java and Naive Bayesian Classifer in APL. For example, how are they different and which one is better?

Add Comment