NMF | repository contains the entire code | Object-Relational Mapping library

by NMFCode C# Version: Current License: BSD-3-Clause

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kandi X-RAY | NMF Summary

NMF is a C# library typically used in Manufacturing, Utilities, Machinery, Process, Utilities, Object-Relational Mapping, Framework applications. NMF has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

The .Net Modeling Framework (NMF) is a framework to support model-driven engineering using .NET technologies. It consists of several subprojects that ease various model-driven tasks, such as generating code for model representation, or languages to support model transformation, synchronization and optimization.

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NMF has a low active ecosystem.

It has 27 star(s) with 17 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 29 have been closed. On average issues are closed in 93 days. There are 1 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 0 bugs and 0 code smells.

Security

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

NMF code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

NMF is licensed under the BSD-3-Clause License. This license is Permissive.

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

Reuse

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

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NMF Key Features

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NMF Examples and Code Snippets

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Community Discussions

Trending Discussions on NMF

Display document to topic mapping after LSI using Gensim

Should bi-gram and tri-gram be used in LDA topic modeling?

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

QUESTION

Display document to topic mapping after LSI using Gensim

Asked 2022-Feb-22 at 19:27

I am new to using LSI with Python and Gensim + Scikit-learn tools. I was able to achieve topic modeling on a corpus using LSI from both the Scikit-learn and Gensim libraries, however, when using the Gensim approach I was not able to display a list of documents to topic mapping.

Here is my work using Scikit-learn LSI where I successfully displayed document to topic mapping:

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ANSWER

Answered 2022-Feb-22 at 19:27

In order to get the representation of a document (represented as a bag-of-words) from a trained LsiModel as a vector of topics, you use Python dict-style bracket-accessing (model[bow]).

For example, to get the topics for the 1st item in your training data, you can use:

Source https://stackoverflow.com/questions/71218086

QUESTION

Should bi-gram and tri-gram be used in LDA topic modeling?

Asked 2021-Sep-13 at 21:11

I read several posts(here and here) online about LDA topic modeling. All of them only use uni-grams. I would like to know why bi-grams and tri-grams are not used for LDA topic modeling?

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ANSWER

Answered 2021-Sep-13 at 08:30

It's a matter of scale. If you have 1000 types (ie "dictionary words"), you might end up (in the worst case, which is not going to happen) with 1,000,000 bigrams, and 1,000,000,000 trigrams. These numbers are hard to manage, especially as you will have a lot more types in a realistic text.

The gains in accuracy/performance don't outweigh the computational cost here.

Source https://stackoverflow.com/questions/69157848

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 :

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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:

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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:

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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']

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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.

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ANSWER

Answered 2020-Jul-16 at 12:19