HASC | Hierarchical Attention Model for Social Contextual Image | Machine Learning library

by newlei Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | HASC Summary

HASC is a Python library typically used in Manufacturing, Utilities, Machinery, Process, Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. HASC has no bugs, it has no vulnerabilities and it has low support. However HASC build file is not available. You can download it from GitHub.

We develop a hierarchical attention model for social contextual image recommendation. In addition to basic latent user interest modeling in the popular matrix factorization based recommendation, we identify three key aspects (i.e., upload history, social influence, and owner admiration) that affect each user’s latent preferences, where each aspect summarizes a contextual factor from the complex relationships between users and images. After that, we design a hierarchical attention network that naturally mirrors the hierarchical relationship (elements in each aspects level, and the aspect level) of users’ latent interests with the identified key aspects. We provide TensorFlow implementations for HASC model. Note: The current software works well with Tensorflow 0.14+.

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HASC has a low active ecosystem.

It has 7 star(s) with 6 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 496 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of HASC is current.

Quality

HASC has 0 bugs and 0 code smells.

Security

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

HASC code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

HASC 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

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

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

Installation instructions, examples and code snippets are available.

It has 1508 lines of code, 18 functions and 3 files.

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

Top functions reviewed by kandi - BETA

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

generate train_train_train
Generates one - train generator .
Generate one test evaluation result .
Calculate social influence .
Computes the weightance of a model .
Uploadluence speed .
Generate a list of negative 100% examples .

Get all kandi verified functions for this library.

HASC Key Features

No Key Features are available at this moment for HASC.

HASC Examples and Code Snippets

No Code Snippets are available at this moment for HASC.

Community Discussions

Trending Discussions on HASC

Conditionally counting number of ocurrences in a dataframe - performance improvement

Define sets in a way that equality can be proven by extensionality

Rust can't use enum in const fn?

Swift why unwrapping optional by guarding against NIL is not working

QUESTION

Conditionally counting number of ocurrences in a dataframe - performance improvement

Asked 2021-Oct-15 at 21:50

I need to detect (among other things) the first occurrence of a non-"F" code in a patient's list, after the first "F" code occurrence. The below code seems to succeed in this, however it is shown to be too inefficient on the server running in a data set of one million observations.

The final data set should have a variable of number of non-F codes (nhosp), and the first non-F code found after the first F-code appearance on the DAIGNOSTICO variable. No duplicates of ID.

How can I improve both in terms of complexity and speed? Tidyverse pipe preferred.

This is how the result should look like:

...

ANSWER

Answered 2021-Oct-15 at 21:50

You could use

Source https://stackoverflow.com/questions/69590662

QUESTION

Define sets in a way that equality can be proven by extensionality

Asked 2020-Apr-09 at 19:37

I need to define sets (only finite sets are enough for my usage) in a way that the following lemma can be proved.

...

ANSWER

Answered 2020-Apr-09 at 19:37

You can obtain extensional equality by forcing the elements of the list to be sorted. There are many libraries that follow this approach, including my own Extensional Structures (more alternatives are linked on the GitHub page).

Source https://stackoverflow.com/questions/61128600

QUESTION

Rust can't use enum in const fn?

Asked 2020-Feb-08 at 10:44

This code wouldn't compile, why Rust don't even allow this? It's just simple enum variation test, is there any way to workaround?

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ANSWER

Answered 2020-Feb-08 at 10:44

It's just simple enum variation test

Not exactly. You're using == which desugars to an application of the PartialEq method eq. Since const trait methods aren't possible yet (and the RFC for them hasn't even been accepted), you can't mark that method as const, so == is unusable in const functions.

Well ... almost unusable. There are a few exceptions for primitive types. Replace your T::d == a with 2 == 2 and everything compiles fine. The reason is that equality between certain primitive types (including integers and floats) doesn't use the PartialEq trait but is implemented more intrinsically. This intrinsic implementation can be used in const functions.

The most idiomatic solution might be to use a match or if let to check an enum variant, but unfortunately, match doesn't work in const functions yet either. If you're using nightly (and it appears you are) the feature flag const_if_match will enable it.

Source https://stackoverflow.com/questions/60125657

QUESTION

Swift why unwrapping optional by guarding against NIL is not working

Asked 2020-Jan-15 at 11:48

I am new to Swift, but am curious about the behaviour of optional unwrapping.

Is there any explanation why guarding against != nil is not unwrapping the optional?

As a simple example:

...

ANSWER

Answered 2020-Jan-15 at 10:58

You are not declaring a new variable using guard, function parameter is optional so thats why its allowing you to unwrap even after guard statement

Source https://stackoverflow.com/questions/59749780

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

Vulnerabilities

No vulnerabilities reported

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