Home > Website Builders > Cloud Servers

Milk 0.4.0 releases the Python machine learning kit

Source: Internet
Author: User
Keywords Machine learning Python milk
Tags based codes different economy error example learning processing
Developer on Alibaba Coud: Build your first app with APIs, SDKs, and tutorials on the Alibaba Cloud. Read more ＞

Milk is a machine learning kit in Python. Its focus is to provide supervised classifications and several effective classification analyses: SVMs (based on LIBSVM), nn, stochastic forest economy and decision tree. It also performs feature selection. These classifications can be combined in many ways to form different classification systems. For unsupervised learning, milk supports K clustering and affinity propagation.

Milk 0.4.0 new features: Parallel processing, perceptron and error-correcting output codes. Enhancements: Setting up random seeds in a stochastic forest economy, Defaultlearner () adds the "multi_strategy" parameter, the return value is Gridminimise, and the faster network kernel supports SVMS and S-shape fitting. A randomforest error was corrected.

Example：

Import&http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp;numpy as NP import milk features = Np.random.rand ( 100,10) labels = Np.zeros (m) features[50:] = = 5 Labels[50:] = 1 learner = Milk.defaultclassifier () model = Learner.train (  features, labels) # Now I can use the model on new examples:example = Np.random.rand Print model.apply (example) example2 = Np.random.rand (example2 = 5 print model.apply (example2)

Download Address: milk-0.4.0.tar.gz (MD5)

This article is an English version of an article which is originally in the Chinese language on aliyun.com and is provided for information purposes only. This website makes no representation or warranty of any kind, either expressed or implied, as to the accuracy, completeness ownership or reliability of the article or any translations thereof. If you have any concerns or complaints relating to the article, please send an email, providing a detailed description of the concern or complaint, to info-contact@alibabacloud.com. A staff member will contact you within 5 working days. Once verified, infringing content will be removed immediately.

Related Keywords:
azure python machine learning python machine learning framework python machine learning packages supervised machine learning python python and machine learning python machine learning example remember the milk android
Related Article
Some suggestions for improving SQL execution efficiency
A collection of sophisticated SQL statement techniques
3 Steps to address SQL injection pitfalls
SQL Optimization Experience Summary 34
Search results sorted by matching fields

Contact Us

The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the content of the page makes you feel confusing, please write us an email, we will handle the problem within 5 days after receiving your email.

If you find any instances of plagiarism from the community, please send an email to: info-contact@alibabacloud.com and provide relevant evidence. A staff member will contact you within 5 working days.

Hot Article
Hot Tags
computing conference access forum computer class data get http html applications
Popular Keywords
html add blank space register business logo register ssl certificate full site sign in sign up node js build cloud register register a subdomain in python network management system tutorial how to learn computer science by myself

A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

Get Started for Free

  • Sales Support

    1 on 1 presale consultation

    Chat Contact Sales

  • After-Sales Support

    24/7 Technical Support 6 Free Tickets per Quarter Faster Response

    Open a Ticket

  • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.

    Learn More