Music-recommender | Music recommender build pandas | Machine Learning library

by kapilkchaurasia Python Version: Current License: No License

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

kandi X-RAY | Music-recommender Summary

Music-recommender is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning applications. Music-recommender has no bugs, it has no vulnerabilities and it has low support. However Music-recommender build file is not available. You can download it from GitHub.

Music recommender build using pandas and scikit-learn using last.fm data as training and testing data. this is based on question in "CS194-16 Introduction to Data Science" course of UC berkley. For the exact question or clearify problem statement visit The data i use of lastfm can be downloaded through

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Support

Music-recommender has a low active ecosystem.

It has 5 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

Music-recommender has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Music-recommender is current.

Quality

Music-recommender has 0 bugs and 0 code smells.

Security

Music-recommender has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Music-recommender code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Music-recommender 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

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

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

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Music-recommender Key Features

No Key Features are available at this moment for Music-recommender.

Music-recommender Examples and Code Snippets

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Community Discussions

Trending Discussions on Music-recommender

TypeError: expected str, bytes or os.PathLike object, not DecisionTreeClassifier & TypeError: Traceback (most recent call last)

ValueError: Number of features of the model must match the input. Model n_features is 3 and input n_features is 2

Why is my joblib file not being saved in the same directory as my Jupyter file?

QUESTION

TypeError: expected str, bytes or os.PathLike object, not DecisionTreeClassifier & TypeError: Traceback (most recent call last)

Asked 2020-Oct-22 at 15:09

I am working on a machine learning problem using jupyter notebook.

Earlier 'joblib' was not importing from sklearn.externals so I just wrote the code 'import joblib' as you can see in the code line 3. But i don't know why it is displaying this two errors, is the joblib package isn't loading the model or something? If anyone can figure this out please help. This is the code:
...

ANSWER

Answered 2020-Oct-22 at 15:09

Instead of writing:

Source https://stackoverflow.com/questions/64484794

QUESTION

ValueError: Number of features of the model must match the input. Model n_features is 3 and input n_features is 2

Asked 2020-May-12 at 13:11

I am continuously trying to fix it but won't be able to understand the fact. How can I fix it?

...

ANSWER

Answered 2020-May-12 at 12:50

You’re only passing in 2 features to your predict method. This model expects 3 features.

Source https://stackoverflow.com/questions/61752037

QUESTION

Why is my joblib file not being saved in the same directory as my Jupyter file?

Asked 2020-Apr-08 at 18:08

So, I'm trying to create a persistent model for a machine learning project. I'm using joblib.dump to do so. Here is the code:

...

ANSWER

Answered 2020-Apr-08 at 18:08

You will need to either save your file with an absolute path, or set the relative path relative to your current working directory:

Source https://stackoverflow.com/questions/61107020

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

Vulnerabilities

No vulnerabilities reported

Install Music-recommender

You can download it from GitHub.
You can use Music-recommender 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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