pynndescent | Python neighbor descent | Hashing library

by lmcinnes Python Version: 0.5.13 License: BSD-2-Clause

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

kandi X-RAY | pynndescent Summary

pynndescent is a Python library typically used in Security, Hashing applications. pynndescent has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install pynndescent' or download it from GitHub, PyPI.

A Python nearest neighbor descent for approximate nearest neighbors

Support

Quality

Security

License

Reuse

Support

pynndescent has a low active ecosystem.

It has 764 star(s) with 95 fork(s). There are 12 watchers for this library.

There were 1 major release(s) in the last 6 months.

There are 61 open issues and 59 have been closed. On average issues are closed in 34 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pynndescent is 0.5.13

Quality

pynndescent has 0 bugs and 0 code smells.

Security

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

pynndescent code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pynndescent is licensed under the BSD-2-Clause License. This license is Permissive.

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

Reuse

pynndescent releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

pynndescent saves you 3243 person hours of effort in developing the same functionality from scratch.

It has 6652 lines of code, 276 functions and 17 files.

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

Top functions reviewed by kandi - BETA

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

Computes the correlation between two sparse matrices
Return the union of two arrays
Returns unique values in an array
Multiply a sparse matrix
Discurifies the given indices
Generate a random integer
Generate a random integer value
Connect the graph to the given index
Create a component search
Calculates the sinkhorn distance between x and y
Solve the transport problem
Convert a tree structure to a numpy array
Make the eclidean hyperplane
Calculate cosine between two vectors
Compute the alternative heuristic
Calculate the bay covariance
Calculate the hellinger
Compute the cosine between two vectors
Make a random hyperplane
Prune the graph
Make a dense tree
Compute the distance between two sparse matrices
Diver a CSR
Make a sparse tree structure
Apply hyperplane to data
Generates a closure for a fixed - cost function

Get all kandi verified functions for this library.

pynndescent Key Features

No Key Features are available at this moment for pynndescent.

pynndescent Examples and Code Snippets

No Code Snippets are available at this moment for pynndescent.

Community Discussions

Trending Discussions on pynndescent

How to install PyCaret in AWS Glue

Python Make UMAP fast(er)

How do I solve "incompatible numba" error while installing Scanpy?

Package updates from remote git repository are not reflected in site-packages

QUESTION

How to install PyCaret in AWS Glue

Asked 2021-Jul-08 at 17:01

How can I properly install PyCaret in AWS Glue?

Methods I tried:

--additional-python-modules and --python-modules-installer-option
Python library path
easy_install as described in Use AWS Glue Python with NumPy and Pandas Python Packages

I am using Glue Version 2.0. I used --additional-python-modules and set to pycaret as shown in the picture.

Then I got this error log.

...

ANSWER

Answered 2021-Jul-08 at 17:01

I reached out to AWS support. Meghana was in charge of this case.

Here is the reply:

Source https://stackoverflow.com/questions/68260888

QUESTION

Python Make UMAP fast(er)

Asked 2021-Jul-06 at 03:01

I am using UMAP (https://umap-learn.readthedocs.io/en/latest/#) to reduce the dimensions in my data. My dataset contains 4700 samples with 1,2 million features each (which I would like to reduce). However, this takes quite a while despite using 32 CPUs and 120GB RAM. Especially the construction of the embedding is slow and the verbose output did not change in the last 3.5 hours:

...

ANSWER

Answered 2021-Jul-06 at 03:01

With 1.2 million features and only 4700 samples you are going to be better off just precomputing the full distance matrix and passing that in with metric="precomputed". Currently it is expending a lot of work computing nearest neighbors of those 1.2million long vectors. Just brute force will be a lot better.

Source https://stackoverflow.com/questions/68257096

QUESTION

How do I solve "incompatible numba" error while installing Scanpy?

Asked 2021-Mar-21 at 14:47

I tried installing the Scanpy package on Jupyter with "pip install Scanpy" but I got the the errors below;

ERROR: pynndescent 0.5.2 has requirement numba>=0.51.2, but you'll have numba 0.48.0 which is incompatible. ERROR: umap-learn 0.5.1 has requirement numba>=0.49, but you'll have numba 0.48.0 which is incompatible

When I tried to separately install an upgraded version of numba, I got the error below;

ERROR: Cannot uninstall 'llvmlite'. It is a distutils installed project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall.

...

ANSWER

Answered 2021-Mar-21 at 14:40

you can try install with pip install -c numba numba=0.51.2.1rc1 if it doesn't work for you alternativly install RUN pip install llvmlite --ignore installed before pip install numba. HAVE A GOOD DAY:)

Source https://stackoverflow.com/questions/66733568

QUESTION

Package updates from remote git repository are not reflected in site-packages

Asked 2021-Mar-17 at 09:06

I have been trying to upgrade a package based off of the most recent changes on git but the changes aren't taking effect. I ran several variations of this command, such as also using python -m pip and the actual path to the pip version in anaconda, as well as adding --upgrade: pip install git+git://github.com/lmcinnes/umap@master

Here is the output each time:

...

ANSWER

Answered 2021-Mar-17 at 09:06

try using the --update and --force-reinstall options of pip, or:

pip install --update --force-reinstall git+git://github.com/lcminnes/umap@master

Source https://stackoverflow.com/questions/66661224

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

Vulnerabilities

No vulnerabilities reported

Install pynndescent

You can install using 'pip install pynndescent' or download it from GitHub, PyPI.
You can use pynndescent 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 .

Find more information at: