73rhodes / dclassify Goto Github PK
View Code? Open in Web Editor NEWOptimized Naive Bayesian classifier for NodeJS
License: MIT License
Optimized Naive Bayesian classifier for NodeJS
License: MIT License
I published the module as dclassify
to version 1.0.0
and tried to add you as an owner.
npm owner add darrenderidder dclassify
~/w/g/p/dclassify (master) $
npm http GET https://registry.npmjs.org/-/user/org.couchdb.user:darrenderidder
npm http 404 https://registry.npmjs.org/-/user/org.couchdb.user:darrenderidder
npm ERR! owner mutate Error getting user data for darrenderidder
npm ERR! Error: not_found missing: -/user/org.couchdb.user:darrenderidder
npm ERR! at RegClient.<anonymous> (/usr/local/lib/node_modules/npm/node_modules/npm-registry-client/lib/request.js:237:14)
npm ERR! at Request.self.callback (/usr/local/lib/node_modules/npm/node_modules/request/request.js:123:22)
npm ERR! at Request.EventEmitter.emit (events.js:110:17)
npm ERR! at Request.<anonymous> (/usr/local/lib/node_modules/npm/node_modules/request/request.js:893:14)
npm ERR! at Request.EventEmitter.emit (events.js:129:20)
npm ERR! at IncomingMessage.<anonymous> (/usr/local/lib/node_modules/npm/node_modules/request/request.js:844:12)
npm ERR! at IncomingMessage.EventEmitter.emit (events.js:129:20)
npm ERR! at _stream_readable.js:898:16
npm ERR! at process._tickCallback (node.js:343:11)
npm ERR! If you need help, you may report this *entire* log,
npm ERR! including the npm and node versions, at:
npm ERR! <http://github.com/npm/npm/issues>
npm ERR! System Darwin 13.1.0
npm ERR! command "node" "/usr/local/bin/npm" "owner" "add" "darrenderidder" "dclassify"
npm ERR! cwd /Users/paolofragomeni/workroot/git/policymic/dclassify
npm ERR! node -v v0.11.13
npm ERR! npm -v 1.4.3
npm ERR!
npm ERR! Additional logging details can be found in:
npm ERR! /Users/paolofragomeni/workroot/git/policymic/dclassify/npm-debug.log
npm ERR! not ok code 0
Is it possible to store the classifiers knowledge in a file or DB (not just in memory)?
Hey,
What types of data are supported on document's characteristics
Does the type alter the result of the training?
ex. How would and Number "age" be treated as a characteristic?
Will 29 and 31 be close compared to 29 and 20?
Thanks!
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