movie-rating | : movie_camera : Rate movies by emotion | Video Utils library

by kaue C# Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets(1)Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | movie-rating Summary

movie-rating is a C# library typically used in Video, Video Utils applications. movie-rating has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Movie Rating is a collaborative voting platform that uses a algorithm to group similar movies based on the emotion caused when watching it. Developed during AngelHack Hackathon São Paulo 2014.

Support

Quality

Security

License

Reuse

Support

movie-rating has a low active ecosystem.

It has 4 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

movie-rating has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of movie-rating is current.

Quality

movie-rating has 0 bugs and 0 code smells.

Security

movie-rating has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

movie-rating code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

movie-rating is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

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

It has 117650 lines of code, 0 functions and 72 files.

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

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of movie-rating

Get all kandi verified functions for this library.

movie-rating Key Features

No Key Features are available at this moment for movie-rating.

movie-rating Examples and Code Snippets

Load movie rating data .

python

Lines of Code : 19

License : Permissive (MIT License)

Copy

def load_data():
    netflix_csv_file = open("netflix_rating.csv", mode = "w")
    rating_files = ['combined_data_4.txt']
    for file in rating_files:
        with open(file) as f:
            for line in f:
                line = line.strip()

Community Discussions

Trending Discussions on movie-rating

Did i confuse the integer data type with something else?

Vue router-view isn't displaying all views

Hive Query to find out the average rating of movies having rating more than 2

React assign values to an array

Creating MLP model to predict the ratings that a user will give to an unseen movie using PyTorch

QUESTION

Did i confuse the integer data type with something else?

Asked 2021-Aug-26 at 11:43

I dont know how to deal with the error of unsupported operand types: int + App\Models\Rating but the calculation works just correctly. It pinpoints the error to the public function rate starting from this currentRating = round. Im confused because it's new to me in terms of the language so it's big blur.

...

ANSWER

Answered 2021-Aug-26 at 11:43

You probably meant to write + $rating->rating instead of + $rating.

$rating is an object, not an integer.

Source https://stackoverflow.com/questions/68935647

QUESTION

Vue router-view isn't displaying all views

Asked 2021-May-12 at 16:15

Sorry for the heavy text. All of my router-views work, except for one, which shows blank. I do not see any console errors of warnings and the format is identical between views - the only difference is the template. This was working, but I started a new project because my package.json and dependencies got messy. I've read through the code ad nauseum and I just can't work out why it wont show. The code is condensed as there's lots. If you prefer, here's a link to a sandbox: https://codesandbox.io/s/condescending-monad-5o8qw

...

ANSWER

Answered 2021-May-12 at 16:15

As you are using Vue 3, you need to use vue-star-rating@next

Source https://stackoverflow.com/questions/67506305

QUESTION

Hive Query to find out the average rating of movies having rating more than 2

Asked 2020-Nov-27 at 11:14

I have a table named movierating consisting of the following fields:

...

ANSWER

Answered 2020-Nov-02 at 08:12

You can change your query like below:

Source https://stackoverflow.com/questions/64622253

QUESTION

React assign values to an array

Asked 2020-Sep-13 at 16:55

I'm trying to handle some star rating according to some data from an api. The problem is that I have created an array for the stars and nothing is rendered. If I console .log inside the fetchMovieDetails I can see there is data. What am I missing? I even tried var stars = useState([]) but still same result

...

ANSWER

Answered 2020-Sep-13 at 16:29

I guest var stars is always re-declare. Why don't you using the useState like:

Source https://stackoverflow.com/questions/63872981

QUESTION

Creating MLP model to predict the ratings that a user will give to an unseen movie using PyTorch

Asked 2020-Jul-25 at 22:40

For my project , i’m trying to predict the ratings that a user will give to an unseen movie, based on the ratings he gave to other movies. I’m using the movielens dataset.The Main folder, which is ml-100k contains informations about 100,000 movies.

Before processing the data, the main data (ratings data) contains user ID, movie ID, user rating from 0 to 5 and timestamps(not considered for this project).I then split the data into Training set(80%) and test data(20%) using sklearn Library.

To create the recommendation systems, the model ‘Stacked-Autoencoder’ is being used. I’m using PyTorch and the code is implemented on Google Colab. The project is based on this https://towardsdatascience.com/stacked-auto-encoder-as-a-recommendation-system-for-movie-rating-prediction-33842386338

I'm new to deep Learning and I want to compare this model(Stacked_Autoencoder) to another Deep Learning model. For Instance,I want to use Multilayer Perception(MLP). This is for research purposes. This is the code below for creating Stacked-Autoencoder model and training the model.

...

ANSWER

Answered 2020-Jul-25 at 22:40

An MLP is not suited for recommendations. If you want to go this route, you will need to create an embedding for your userid and another for your itemid and then add linear layers on top of the embeddings. Your target will be to predict the rating for a userid-itemid pair.

I suggest you take a look at variational autoencoders (VAE). They give state-of-the-art results in recommender systems. They will also give a fair comparaison with your stacked-autoencoder. Here's the research paper applying VAE for collaborative filtering : https://arxiv.org/pdf/1802.05814.pdf

Source https://stackoverflow.com/questions/62839095

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

Vulnerabilities

No vulnerabilities reported

Install movie-rating

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 .

Find more information at: