vista-net | Code of the paper VistaNet : Visual Aspect Attention | Predictive Analytics library

by PreferredAI Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | vista-net Summary

vista-net is a Python library typically used in Analytics, Predictive Analytics applications. vista-net has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However vista-net build file is not available. You can download it from GitHub.

Code of the paper "VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis", AAAI'19

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Quality

Security

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Support

vista-net has a low active ecosystem.

It has 48 star(s) with 7 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 6 have been closed. On average issues are closed in 13 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of vista-net is current.

Quality

vista-net has 0 bugs and 0 code smells.

Security

vista-net has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

vista-net code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

vista-net 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

vista-net releases are not available. You will need to build from source code and install.

vista-net has no build file. You will be need to create the build yourself to build the component from source.

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

vista-net saves you 268 person hours of effort in developing the same functionality from scratch.

It has 649 lines of code, 43 functions and 8 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Visual attention
Get the shape of a tensor
Mask the given scores
Load Glo word embeddings
Loads the vocabulary
Text attention layer
Create a train function
Count the number of trainable variables
Evaluate model
Return a dictionary of feed data
Normalize a batch of images
Load a photo
Dump reviews to a file
Read reviews from file
Build the vocabulary
Build the word frequency distribution
Tokenize text
Train a model
Create an iterator for batching images
Reads the train set
Calculate loss function
Picks up a single GPU
Return a dictionary mapping GPU memory to memory
Pick the lowest memory to use
Evaluate function
Evaluate the model

Get all kandi verified functions for this library.

vista-net Key Features

No Key Features are available at this moment for vista-net.

vista-net Examples and Code Snippets

No Code Snippets are available at this moment for vista-net.

Community Discussions

Trending Discussions on Predictive Analytics

will TensorFlow utilize GPU for predictive Analysis?

Restructuring Pandas Dataframe for large number of columns

Display data from two json files in react native

QUESTION

will TensorFlow utilize GPU for predictive Analysis?

Asked 2020-Nov-21 at 21:35

GPU is good for parallel computing but the problem is some machine learning libraries don't utilize the GPU, unless that machine learning based on image processing or some sort of graphics processing, what if I am using machine learning for predictive Analytics? do libraries like TensorFlow utilize the GPU? or they use only CPU? or can I choose which processing unit to use? whats the deal here?

note: predictive Analysis requires no graphics processing.

...

ANSWER

Answered 2020-Nov-21 at 21:35

The short answer: yes, it will! The slightly longer answer:

The computation that happens in the GPU in any of the machine learning frameworks that support GPUs is not limited to graphical processing. For instance, if your model is a simple logistic regression, a framework such as TensorFlow will run it on the GPU if properly configured.

The advantage of GPUs for machine learning is that training big neural networks benefits greatly from the high level of parallelism that the GPUs offer.

If you want to know more about this, I'd recommend you start here or here.

some things to consider:

how much a model will benefit from running in the GPU will depend on how much it will benefit from parallel computation in general.
Deep Learning models can be applied to predictive analytics, as well as more classical machine learning models. Bear in mind that neural nets are possibly the category of models that will benefit inherently from the GPU (see links above).
Even though running models using GPUs (or even more specialised hardware) can bring benefits, I would suggest that you don't choose a framework and, especially, don't choose an algorithm based solely on the fact that it will benefit from parallelism, but rather look at how appropriate a given algorithm is for the data you have.

Source https://stackoverflow.com/questions/64948197

QUESTION

Restructuring Pandas Dataframe for large number of columns

Asked 2020-Nov-01 at 19:39

I have a pandas dataframe which is a large number of answers given by users in response to a survey and I need to re-structure it. There are up to 105 questions asked each year, but I only need maybe 20 of them.

The current structure is as below.

What I want to do is re-structure it so that the row values become column names and the answer given by the user is then the value in that column. In a picture (from Excel), what I want is the below (I know I'll need to re-name my columns, but that's fine once I can create the structure in the first place):

Is it possible to re-structure my dataframe this way? The outcome of this is to use some predictive analytics to predict a target variable, so I need to re-strcture before I can use Random Forest, kNN, and so on.

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ANSWER

Answered 2020-Nov-01 at 19:39

You might want try pivoting your table:

Source https://stackoverflow.com/questions/64630691

QUESTION

Display data from two json files in react native

Asked 2020-May-17 at 23:55

I have js files Dashboard and Adverts. I managed to get Dashboard to list the information in one json file (advertisers), but when clicking on an advertiser I want it to navigate to a separate page that will display some data (Say title and text) from the second json file (productadverts). I can't get it to work. Below is the code for the Dashboard and next for Adverts. Then the json files

...

ANSWER

Answered 2020-May-17 at 23:55

The new object to get params in React Navigation 5 is:

Source https://stackoverflow.com/questions/61859411

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

Vulnerabilities

No vulnerabilities reported

Install vista-net

You can download it from GitHub.
You can use vista-net 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.