NMF | Flexible R package for Nonnegative Matrix Factorization | Recommender System library

by renozao R Version: Current License: No License

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kandi X-RAY | NMF Summary

NMF is a R library typically used in Artificial Intelligence, Recommender System applications. NMF has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

NMF: A Flexible R package for Nonnegative Matrix Factorization

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Support

NMF has a low active ecosystem.

It has 97 star(s) with 37 fork(s). There are 13 watchers for this library.

It had no major release in the last 6 months.

There are 93 open issues and 63 have been closed. On average issues are closed in 121 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of NMF is current.

Quality

NMF has no bugs reported.

Security

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

License

NMF does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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NMF Key Features

No Key Features are available at this moment for NMF.

NMF Examples and Code Snippets

No Code Snippets are available at this moment for NMF.

Community Discussions

Trending Discussions on NMF

Gensim LDA : error cannot compute LDA over an empty collection (no terms)

List wrong predictions in the test data! - Python

How to record varying values for duplicated IDs

NMF Matrix Multiplication not reducing error

What is n_components in NMF(Non-Negative Matrix Factorization) in sklearn?

Pandas column has no values

Pandas astype() error in Power BI but not in Jupyter Notebook

Assign Topic from NNMF Topic Modelling

TypeError: cannot do index indexing on with these indexers [1] of

Non-file package-anchored link(s) in documentation object

QUESTION

Gensim LDA : error cannot compute LDA over an empty collection (no terms)

Asked 2021-Apr-30 at 11:30

I have te same error as this thread : ValueError: cannot compute LDA over an empty collection (no terms) but the solution needed isn't the same.

I'm working on a notebook with Sklearn, and I've done an LDA and a NMF.

I'm now trying to do the same using Gensim: https://radimrehurek.com/gensim/auto_examples/tutorials/run_lda.htm

Here is a piece of code (in Python) from my notebook of what I'm trying to do :

...

ANSWER

Answered 2021-Apr-28 at 13:30

Just don't use id2token.

Your model should be :

Source https://stackoverflow.com/questions/67229373

QUESTION

List wrong predictions in the test data! - Python

Asked 2021-Apr-14 at 15:28

I'm trying to list all the wrong predictions in a test set, but quite unsure how to do it. I tried Stackoverflow, but might have searched for the wrong "problem". So I have these text files from a folder, containing emails. The problems is that my predictions isn't doing to well, and I want to inspect the emails that is predicted wrong. Currently a snippet of my code looks something like this:

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ANSWER

Answered 2021-Apr-14 at 15:28

You can use NumPy to create a Boolean vector indicating which predictions are wrong, and then use that vector to index your array of file names. For example:

Source https://stackoverflow.com/questions/67091700

QUESTION

How to record varying values for duplicated IDs

Asked 2021-Mar-17 at 21:15

I do not want to remove the duplicates, I want to record instances where a particular variable is duplicated and contains varying values for other columns. What I have works, but it's too slow.

So we have a data frame:

...

ANSWER

Answered 2021-Mar-17 at 21:15

Here is a data.table option

Source https://stackoverflow.com/questions/66674626

QUESTION

NMF Matrix Multiplication not reducing error

Asked 2020-Dec-08 at 22:56

In NMF we have to iteratively multiply matrix W and H such that it begins to approximate V.

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ANSWER

Answered 2020-Dec-08 at 22:56

I came up with a quick fix after reading chapter 10 of Programming Collective Intelligence by Toby Segaran.

First make sure you run from numpy import * then inside the main loop:

Source https://stackoverflow.com/questions/65202452

QUESTION

What is n_components in NMF(Non-Negative Matrix Factorization) in sklearn?

Asked 2020-Nov-17 at 20:58

What is n_components in sklearn.NMF?

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ANSWER

Answered 2020-Nov-17 at 20:58

Here's one example of how I've seen this parameter used:

When used for topic modeling in natural language processing, n_components can be used as the number of topics to print out.

For example, if I fit the NMF object on a TF-IDF vectorizer and set n_components = 10, I can use it to show me 10 different collections of words that I can interpret as my topics.

Source https://stackoverflow.com/questions/64811418

QUESTION

Pandas column has no values

Asked 2020-Aug-06 at 21:22

So I am trying to create a new column for a dataframe that in essence has a 1 when the mfi is over 70 and a 0 when it is not. The code so far is:

...

ANSWER

Answered 2020-Aug-06 at 21:22

# necessary imports
import pandas as pd
import numpy as np

Source https://stackoverflow.com/questions/63233182

QUESTION

Pandas astype() error in Power BI but not in Jupyter Notebook

Asked 2020-Jul-30 at 21:49

I have the following topic modelling script to assign topic categories to a variety of documents. The documents are imported through Power BI via df = dataset['Comment']

...

ANSWER

Answered 2020-Jul-30 at 21:49

The issue is related to the way datasets are imported in the Power BI Query Editor using Python. To fix the issue, import the data via:

Source https://stackoverflow.com/questions/62997013

QUESTION

Assign Topic from NNMF Topic Modelling

Asked 2020-Jul-16 at 12:19

I have a list of text comments that are fed into a non-negative matrix factorization topic modelling program.

...

ANSWER

Answered 2020-Jul-16 at 12:19

The answer is to transform the document term matrix to pull out the factorized document topic matrix:

Source https://stackoverflow.com/questions/62841794

QUESTION

TypeError: cannot do index indexing on with these indexers [1] of

Asked 2020-Jun-25 at 20:13

So I am trying to make a trading algorithm that uses the MFI and volume. So far here is the code:

...

ANSWER

Answered 2020-Jun-18 at 21:55

You can use a simpler expression:

Source https://stackoverflow.com/questions/62416788

QUESTION

Non-file package-anchored link(s) in documentation object

Asked 2020-Jun-17 at 11:48

In my R package checking, I got some warnings about documentation links.

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ANSWER

Answered 2020-Jun-17 at 11:48

It seems that, if you use links of the form \code{\link[pkg]{foo}} pointing to help pages containing several functions, the link should point only to the core function.

For example, say the functions foo_1 and foo_2 are described in the same help page and foo_1 is the main function (i.e. appearing in the top left corner of the help page).

To create a link to foo_2, you should use \code{\link[pkg:foo_1]{foo_2}}.

See this GH issue and this reference in writing R extensions.

Source https://stackoverflow.com/questions/62420464

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

Vulnerabilities

No vulnerabilities reported

Install NMF

You can download it from GitHub.

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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