awesome-mac | Collect premium software | Runtime Evironment library
kandi X-RAY | awesome-mac Summary
kandi X-RAY | awesome-mac Summary
Now we have become very big and different from the original idea. Here we collect awesome macOS software in various categories. Feel free to star and fork. Any comments, suggestions? Let us know! We love PRs :) Please take a look at the contributing guidelines before opening one. Follow the awesome list. means open source, click to open open source repo; means free to use, or free personal license; means App store hyperlink; means hyperlink to a corresponding Awesome list for the item;.
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QUESTION
In sklearn when we pass sentence to algorithms we can use text features extractors like the countvectorizer, tf-idf vectoriser etc... And we get an array of floats.
But what we get when passed to vowpal wabbit the input file like this one:
...ANSWER
Answered 2017-Mar-30 at 21:47There are two separate questions here:
Q1: Why can't you (and shouldn't you) use transformations like tf-idf
when using vowpal wabbit
?
A1: vowpal wabbit
is not a batch learning system, it is an online-learning system. In order to compute measures like tf-idf
(term frequency in each document vs the whole corpus) you need to see all the data (corpus) first, and sometimes do multiple passes over the data. vowpal wabbit
as an online/incremental learning system is designed to also work on problems where you don't have the full data ahead of time. See This answer for a lot more details.
Q2: How does vowpal wabbit
"transform" the features it sees ?
A2: It doesn't. It simply maps each word feature on-the-fly to its hashed location in memory. The online learning step is driven by a repetitive optimization loop (SGD or BFGS) example by example, to minimize the modeling error. You may select the loss function to optimize for.
However, if you already have the full data you want to train on, nothing prevents you from transforming it (using any other tool) before feeding the transformed values to vowpal wabbit
. It's your choice. Depending on the particular data, you may get better or worse results using a transformation pre-pass, than by running multiple passes with vowpal wabbit
itself without preliminary transformations (check-out the vw --passes
option).
To complete the answer, let's add another related question:
Q3: Can I use pre-transformed (e.g. tf-idf
) data with vowpal wabbit
?
A3: Yes, you can. Just use the following (post-transformation) form. Instead of words, use integers as feature IDs and since any feature can have an optional explicit weight, use the tf-idf
floating point as weights, following the :
separator in typical SVMlight format:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install awesome-mac
Downie - Video downloader for macOS with support for YouTube and other 1200 sites.
Deluge - Deluge is a lightweight, Free Software, cross-platform BitTorrent client.
FOLX - Free download manager for Mac OS X with a true Mac-style interface.
Free Download Manager - Powerful, modern download accelerator and organizer for Windows and Mac. (FREE)
JDownloader - Free, open-source download management tool with a huge community of developers that makes downloading as easy and fast as it should be.
Motrix - Motrix is a full-featured download manager that supports downloading HTTP, FTP, BitTorrent, Magnet, Baidu Net Disk, etc.
qBittorrent - A project aims to provide an open-source software alternative to µTorrent.
Shuttle - Easy Download Manager for any links.
Transmission - Fast, easy, free BitTorrent Client.
You-Get - Tiny command-line utility to download media contents (videos, audios, images) from the web.
youtube-dl - Command-line program to download videos from YouTube.com and other video sites
AppKed:~~http://www.macbed.com~~
Softasm:~~https://softasm.com/~~
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