Search results
98 packages found
Random forest for classification and regression
- NLP
- PanGuSegment
- PoS tagging
- analyzer
- async
- chinese
- chinese segmentation
- data
- dict
- dictionary
- file
- hanzi
- jieba
- load
- View more
A watchdog for sensitive Database commands and transactions that (when given a text string) will return an array of recognized sensitive SQL phrases if present
- NLP
- PanGuSegment
- PoS tagging
- analyzer
- async
- chinese
- chinese segmentation
- data
- dict
- dictionary
- file
- hanzi
- jieba
- load
- View more
Compute a distance/similarity matrix
Hierarchical clustering algorithms
Data mining github
A flexible CLI (opt, argv, flag, argc) parser that converts input into JS data types. Additionally supports JSON, key=value, and /rege/x formats, and options to manipulate, aggregate, and calculate.
- line
- underscore
- gulp
- mocha
- chai
- args
- argv
- argc
- opt
- cl parser
- cmd line parser
- cli line parser
- cli parser
- cmd parser
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Boilerplate Node.js middleware that facilitates connections and transactions with Oracle databases.
Data extraction tools.
data mining algorithm in javascript
Generate all possible unordered samples of size m, without replacement, from a set of n objects
NativeExtractor bindings for Node.js
- machine
- learning
- data
- mining
- datamining
- extraction
- entity
- text
- regex
- regexp
- glob
- keywords
- regular
- compiled
- View more
Develop, Maintain, Organize, and Send your recycled database statements from outside of an Oracle Database. Develop and execute canned or dynamic DDL/DML statements that are stored within library files (in json format) executed from a Node.js configured e
- data
- database
- Db
- DB
- db
- layer
- node
- warehouse
- information
- transaction
- metrics
- connect
- connection
- connectivity
- View more
kmeans
An utility for advanced queryies on top of JIRA
Matrix manipulation and computation library
Application for scraping information from arbitrary web sources.
Random forest for classification and regression
Random forest for classification and regression