recommendation_model | 练习下用pytorch来复现下经典的推荐系统模型 , 如MF , FM , DeepConn , MMOE , PLE | REST library

by huangjunheng Python Version: Current License: No License

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

kandi X-RAY | recommendation_model Summary

recommendation_model is a Python library typically used in Web Services, REST, Lastfm applications. recommendation_model has no bugs, it has no vulnerabilities and it has low support. However recommendation_model build file is not available. You can download it from GitHub.

练习下用pytorch来复现下经典的推荐系统模型, 如MF，FM, DeepConn等

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Quality

Security

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Support

recommendation_model has a low active ecosystem.

It has 341 star(s) with 85 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of recommendation_model is current.

Quality

recommendation_model has no bugs reported.

Security

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

License

recommendation_model 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

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

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

Top functions reviewed by kandi - BETA

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

Prepare dataframe
Convert to categorical
Train a model
Compute the mean squared error
Retrieve a dictionary of user reviews
Test the model
Process raw data from a json file
Performs the forward computation
Returns the embedding of the second layer
Train the model
Load review data
Load reviews from query
Load user review data
Calculate the ROC curve
Get the word embedding
Calculates the maximum review count for each user
Calculate the maximum length of the review
Save a dictionary to a pickle file
Get the reviews in the index
Returns a dictionary of user reviews
Create a TensorDataset

Get all kandi verified functions for this library.

recommendation_model Key Features

No Key Features are available at this moment for recommendation_model.

recommendation_model Examples and Code Snippets

No Code Snippets are available at this moment for recommendation_model.

Community Discussions

Trending Discussions on recommendation_model

Movie Recommendation system: Expected to see 2 array(s), but instead got the following list of 1 arrays

QUESTION

Movie Recommendation system: Expected to see 2 array(s), but instead got the following list of 1 arrays

Asked 2019-Aug-26 at 11:21

I'm completely new to Machine Learning and I've been trying to make a movie recommendation system using keras, I've been following a tutorial online but I can't understand Why am I getting the following error: ValueError: Error when checking model input: the list of Numpy arrays that you are passing to your model is not the size the model expected. Expected to see 2 array(s), but instead got the following list of 1 arrays: [array([[130767], [ 110]], dtype=int32)]... I know it has something to do with input shape but I've been searching for 6 straight hours and I still can't understand what's wrong, any help will be appreciated, thank you very much =)

...

ANSWER

Answered 2019-Aug-26 at 11:06

From what I understand the model needs a list of two numpy arrays, whereas you are passing a single numpy array to the model.I think you should change inArr = np.array([[130767], [110]], np.int32) to inArr = [np.array([130767]),np.array([110]), so that now you will be passing two numpy arrays in the list instead of one array.
Hope it helps.

Source https://stackoverflow.com/questions/57655862

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

Vulnerabilities

No vulnerabilities reported

Install recommendation_model

You can download it from GitHub.
You can use recommendation_model 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.

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 .

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