credulous | A naive bayes classifier in JavaScript

by jergason JavaScript Version: 0.1.0 License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | credulous Summary

credulous is a JavaScript library. credulous has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can install using 'npm i credulous' or download it from GitHub, npm.

credulous.js is a simple implementation of a Naive Bayes classifer in JavaScript. You train it with a corpus of strings, and then classify new strings.

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Quality

Security

License

Reuse

Support

credulous has a low active ecosystem.

It has 41 star(s) with 9 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of credulous is 0.1.0

Quality

credulous has 0 bugs and 0 code smells.

Security

credulous has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

credulous code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

credulous is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

credulous releases are not available. You will need to build from source code and install.

Deployable package is available in npm.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed credulous and discovered the below as its top functions. This is intended to give you an instant insight into credulous implemented functionality, and help decide if they suit your requirements.

Returns the probability of a given word .
Constructs a new Credred instance .
Initialize the data store with the given data
Computes the probability for a given word with the given data items .
Returns the max index of array .
Process single CSV items
Validates options
Combines the results of the given probabilities into a single map .
Adds a label to the set .
Process a string of words

Get all kandi verified functions for this library.

credulous Key Features

No Key Features are available at this moment for credulous.

credulous Examples and Code Snippets

No Code Snippets are available at this moment for credulous.

Community Discussions

Trending Discussions on credulous

python - How to get multiple key with single value for a dictionary from excel

running_an_app_with_opencv_32bit_lib_on_x86_64_android

QUESTION

python - How to get multiple key with single value for a dictionary from excel

Asked 2018-Mar-12 at 08:19

I have a excel sheet i.e,

...

ANSWER

Answered 2018-Mar-12 at 08:18

Use set_index to set the index for every column (first three, in this case) besides the root, and then call root.to_dict:

Source https://stackoverflow.com/questions/49230747

QUESTION

running_an_app_with_opencv_32bit_lib_on_x86_64_android

Asked 2017-Mar-03 at 15:18

Can I use "adb install" command to install an app intended for 32bit systems on my x86_64 Marshmallow system?

The app has opencv implementation only for x86 (because it uses opencv 2.4) which means that the libopencv_java.so libraries files is only in the 'lib\x86' directory inside the .apk file (There are other subdirectories of 'lib' directory without library files inside).

I'm not too good with Android system, so the question may seem credulous to some of you, but please help me if you can - I really need to install this app on my smartphone.

...

ANSWER

Answered 2017-Mar-03 at 15:18

The 64b Android can run the 32b applications in compatibility mode (at least the ARM for sure, but I think x86 too, otherwise many of old legacy applets in market would be not working on 64b OS).

To make sure the 32b .apk works in emulated 32b mode, it has to contain ONLY 32b libs variants. If you have multiple native libraries from different vendors, some with 32b support only, and some with 64b support included, delete the 64b variants everywhere (but make sure those libs do have 32b variant, although that would be again a bit insane, to release anything for 64-only).

The true 32b OS will not mind 64b libraries, so rather validate manually by checking the zip (apk) content. Only 64b OS will be confused if some libraries are 64b and others are not.

Such .apk with valid set of libraries should work both when installed from GooglePlay market, or by adb install some.apk from PC.

Why didn't you simply try to install it? Or does it fail and how? If it fails and you think the 32b libs are the problem, verify the 64b libs folders are non-empty, so some other library triggers 64b mode. If they are empty, the app should work, and any other problem is probably unrelated to 32b opencv.

Source https://stackoverflow.com/questions/42579243

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install credulous

You can install using 'npm i credulous' or download it from GitHub, npm.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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