Hello my blog readers, This post is to introduce a new Python package samplepy. This package was written to simplify sampling tasks that so often creep-up in machine learning. The package implements Importance, Rejection and Metropolis-Hastings sampling algorithms. samplepy has a very simple API. The package can be installed with pip by simply running pip
Python
# Re: solving multi-core Python [Posted July 8, 2015 by jake] From: Nick Coghlan <ncoghlan-Re5JQEeQqe8AvxtiuMwx3w-AT-public.gmane.org> To: Chris Angelico <rosuav-Re5JQEeQqe8AvxtiuMwx3w-AT-public.gmane.org> Subject: Re: solving multi-core Python Date: Tue, 23 Jun 2015 13:52:47 +1000 Message-ID: <CADiSq7eYODq4o=n2qzYW8g8ToiGHkyXNuLtG9Xnx6f3PHH31RA@mail.gmail.com> Cc: python-ideas <python-ideas-+ZN9ApsXKcEdnm+yROfE0A-AT-public.gmane.org> On 23 June 2015 at 10:03, Chris Angelico <rosuav-Re5JQEeQqe8Avxti
# Automated hyperparameter tuning using any conformalized surrogate Posted on June 9, 2024 by T. Moudiki in Data science | 0 Comments This article was first published on T. Moudiki's Webpage - Python , and kindly contributed to python-bloggers . (You can report issue about the content on this page here ) Bayesian optimization (BO) is widely used for Machine Learning hyperparameter tuning. BO relies mainly on a probabilistic model of the objective function (generally a Gaussian process model that approxim
# Python importer It is possible to import python projets using MoosePy. To install MoosePy on your Pharo image, execute the following script: Metacello new githubUser: 'moosetechnology' project: 'MoosePy' commitish: 'master' path: 'src'; baseline: 'MoosePy'; load To add MoosePy to your baseline: spec baseline: 'MoosePy' with: [ spec repository: 'github://moosetechnology/MoosePy:master/src' ] ### Import a project programatically Section titled “Import a project programatically” You can launch t
Leveraging Python's Pandas Library for Advanced Stock Correlation Analysis in 2024. The modern market is a chaotic signal generator, and I have spent th
Current-Users archive [ Date Prev ][ Date Next ][ Thread Prev ][ Thread Next ][ Date Index ][ Thread Index ][ Old Index ] # Re: python dumps core - To: current-users%NetBSD.org@localhost - Subject: Re: python dumps core - From: Wolfgang Solfrank < Wolfgang%Solfrank.net@localhost > - Date: Mon, 28 Apr 2008 22:57:34 +0200 Hi, > perl configure dies as well: > Checking your choice of C compiler and flags for coherency... > I've tried to compile and run the following simple program: > #include <stdio.h> > in
A friend of mine needed a bit of help taking a python batch job he had, which deals with one block of work, and making it scale to the cloud. This little project shows how to load a queue of work, then process it with a kubernetes Job. https://github.com/stevecooperorg/kubernetes-job-example
# Leaving The Cloud, The Small Business Version In Chapter 1: What we've tried, we talked about the journey from very simplistic PythonAnywhere PaaS hosting to coordinating 1, then 3, and eventually up to 8 small servers in DigitalOcean. At each step of that journey, those were the right choices for Talk Python and for me managing them. Now, we'll cover how Talk Python of today (2024) is hosted. It's a massive improvement on many fronts and has opened a bunch of new opportunities for us while reducing the