ml-benchmarks | Benchmarks for various machine learning packages | Machine Learning library
kandi X-RAY | ml-benchmarks Summary
kandi X-RAY | ml-benchmarks Summary
Benchmarks for various machine learning packages
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Benchmark example .
- Load training data .
- Benchmark a function
- Compute the inertia of the given centers .
- Benchmark test .
- Benchmark example
- Return the explained variance .
- Benchmark KL divergence .
- Benchmark for MLpy
- Benchmark method .
ml-benchmarks Key Features
ml-benchmarks Examples and Code Snippets
Community Discussions
Trending Discussions on ml-benchmarks
QUESTION
I ve installed dask. My main aim is clustering a large dataset, but before starting work on it, I want to make a few tests. However, whenever I want to run a dask code piece, it takes too much time and a memory error appears at the end. I tried their Spectral Clustering Example and the short code below.
Do you think what is the problem?
...ANSWER
Answered 2019-May-18 at 15:21The Scikit-Learn algorithms are not designed to train over large datasets. They are designed to operate on data that fits in memory. This is described here: https://ml.dask.org/#parallelize-scikit-learn-directly
Projects like Dask ML do have other algorithms that look like Scikit-Learn, but are implemented differently that do support larger dataset sizes. If you're looking for clustering then you might be interested in this page to see what is currently supported: https://ml.dask.org/clustering.html
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install ml-benchmarks
You can use ml-benchmarks like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page