document_similarity

by dfrc-korea Java Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | document_similarity Summary

document_similarity is a Java library. document_similarity has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

document_similarity

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Quality

Security

License

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Support

document_similarity has a low active ecosystem.

It has 4 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

document_similarity has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of document_similarity is current.

Quality

document_similarity has no bugs reported.

Security

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

License

document_similarity is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

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

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

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

The Spark Spark Session
Gets the cosine similarity of two vectors

Get all kandi verified functions for this library.

document_similarity Key Features

No Key Features are available at this moment for document_similarity.

document_similarity Examples and Code Snippets

No Code Snippets are available at this moment for document_similarity.

Community Discussions

Trending Discussions on document_similarity

Sklearn - NLTK problems predicting

QUESTION

Sklearn - NLTK problems predicting

Asked 2019-Jun-12 at 19:02

I'm new to machine learning and I'm doing my "hello world" using sklearn and nltk, but I have problems with the result of the prediction, it always throws me a single value.

I am following a tutorial that I obtained, that has errors and I have been modifying it little by little until in the end it gave me the result, but it is not the expected one.

Attach the tutorial link: https://towardsdatascience.com/text-classification-using-k-nearest-neighbors-46fa8a77acc5

I attach my current code: (always show: "Conditions" as final result)

...

ANSWER

Answered 2019-Jun-11 at 20:25

After printing out x_train and y_train, you'll figure out the bug.

For some reason, your Y is the feature while your X is your label. If you changed the line x_train, y_train = X, Y to x_train, y_train = Y, X, it would work.

Source https://stackoverflow.com/questions/56550268

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

Vulnerabilities

No vulnerabilities reported

Install document_similarity

You can download it from GitHub.
You can use document_similarity like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the document_similarity component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

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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