DETM | paper titled The Dynamic Embedded Topic Model | Topic Modeling library
kandi X-RAY | DETM Summary
kandi X-RAY | DETM Summary
This is code that accompanies the paper titled "The Dynamic Embedded Topic Model" by Adji B. Dieng, Francisco J. R. Ruiz, and David M. Blei. (Arxiv link: The DETM is an extension of the Embedded Topic Model (to corpora with temporal dependencies. The DETM models each word with a categorical distribution whose parameter is given by the inner product between the word embedding and an embedding representation of its assigned topic at a particular time step. The word embeddings allow the DETM to generalize to rare words. The DETM learns smooth topic trajectories by defining a random walk prior over the embeddings of the topics. The DETM is fit using structured amortized variational inference with LSTMs.
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- Calculates the completion probability for a given source
- Create a batch of data
- Calculate the Tensor
- Calculate the logit transform
- Calculate the Nelbo angles
- Reparameterize the distribution
- Calculate the KL divergence function
- Get the alpha matrix of the model
- Compute the topic diversity
- Calculates the frequency of documents with wj
- Calculate diversity
- Calculate the topic coherence
- Load data from file
- Fetch temporal data
- Fetch data
- Visualize the model
- Get the nearest neighbors of a word
- Calculate the beta of the model
- Removes documents with the specified threshold
- Removes empty documents from_docs
- Get RNN input
- Write data to a lld file
- Train the model
- Split bow_in
DETM Key Features
DETM Examples and Code Snippets
Community Discussions
Trending Discussions on DETM
QUESTION
I created a function that returns grammatical characteristics to a set of words:
...ANSWER
Answered 2018-Jan-04 at 10:21Maybe you're looking for the yield
keyword. Yield essentially turns your function into a generator that will keep returning values until you reach the end.
QUESTION
I am trying to import a number of Fortran 90 codes into R for a project. They were initially written with a mex (matlab integration of Fortran routines) type compilation in mind. This is what one of the codes look like:
...ANSWER
Answered 2017-Oct-08 at 20:35I don't think there is any other way then rewrite the code to not use IFWIN. Unless you manage to use Intel Fortran for R (that might require recompiling the whole R distribution...). Matlab is tied to Intel Fortran, that's why the code worked there.
You have to adjust the code anyway, you cannot use it as it stands.
Just get rid of the AllocConsole()
calls and the print
statements. You will need to use the R routines to print to console. See https://cran.r-project.org/doc/manuals/R-exts.html#Printing-from-FORTRAN
QUESTION
So I have two ways of exiting my applications, with the buttons I created and with the keybindings I created.
The problems I am having are with minimize. For the button, I click it on initial launch and it doesnt work. The second time I click it, it will then work. Here is the code for the button.
...ANSWER
Answered 2017-Sep-27 at 02:16You didn't post your FXML file, but I'm going to assume you have something like
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install DETM
You can use DETM like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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