pyemd | Accurate , efficient Earth Mover 's Distance for Python | Dataset library

by garydoranjr C Version: Current License: BSD-3-Clause

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

kandi X-RAY | pyemd Summary

pyemd is a C library typically used in Artificial Intelligence, Dataset, Numpy applications. pyemd has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

An efficient, accurate, easy-to-use EMD implementation in C with Python wrapper. New bonus MATLAB wrapper also included.

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Support

pyemd has a low active ecosystem.

It has 122 star(s) with 29 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 6 have been closed. On average issues are closed in 7 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pyemd is current.

Quality

pyemd has 0 bugs and 9 code smells.

Security

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

pyemd code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyemd is licensed under the BSD-3-Clause License. This license is Permissive.

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

Reuse

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

Installation instructions, examples and code snippets are available.

It has 66 lines of code, 1 functions and 4 files.

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

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pyemd Key Features

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pyemd Examples and Code Snippets

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Community Discussions

Trending Discussions on pyemd

how to apply the MSE and RMSE frequency indicators in the EMD method with Python

Unable to install pycontractions

Multipoint(df['geometry']) key error from dataframe but key exist. KeyError: 13 geopandas

How to install optional components (anaconda, jupyter) in custom dataproc image

Pip install error with pycontractions 'ERROR: Command errored out with exit status 1:'

QUESTION

how to apply the MSE and RMSE frequency indicators in the EMD method with Python

Asked 2022-Feb-04 at 01:17

Hi help me with the code below I am working on a project but I am stuck: I am using the EMD method to decompose signals in imfs but the problem is I don't know how to apply the MSE and RMSE frequency indicators in these IMFs.

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ANSWER

Answered 2022-Jan-29 at 13:18

it's easy to do like this:

Source https://stackoverflow.com/questions/70618636

QUESTION

Unable to install pycontractions

Asked 2022-Jan-22 at 19:52

I am trying to install pycontractions either over Jupyter Lap or PyCharm but I get an error.

Also tried to install packages individually but it failed.

I am using an Anaconda3 environment with Python 3.8

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ANSWER

Answered 2022-Jan-22 at 19:52

This issue is described here at the issue site of this package. This is the pertinent advice:

This is actually a language-check issue. To install pycontractions, Java 8 must be used until language-check fixes their installer script:

Source https://stackoverflow.com/questions/70816384

QUESTION

Multipoint(df['geometry']) key error from dataframe but key exist. KeyError: 13 geopandas

Asked 2021-Oct-11 at 14:51

data source: https://catalog.data.gov/dataset/nyc-transit-subway-entrance-and-exit-data

I tried looking for a similar problem but I can't find an answer and the error does not help much. I'm kinda frustrated at this point. Thanks for the help. I'm calculating the closest distance from a point.

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ANSWER

Answered 2021-Oct-11 at 14:21

geopandas 0.10.1

have noted that your data is on kaggle, so start by sourcing it
there really is only one issue shapely.geometry.MultiPoint() constructor does not work with a filtered series. Pass it a numpy array instead and it works.
full code below, have randomly selected a point to serve as gpdPoint

Source https://stackoverflow.com/questions/69521034

QUESTION

How to install optional components (anaconda, jupyter) in custom dataproc image

Asked 2021-May-03 at 20:41

To speed up my cluster instantiation time, I've created a custom image with all the additional dependencies installed using miniconda3 available for dataproc image 1.5.34-debian10. (I followed the steps here: GCP Dataproc custom image Python environment to ensure I used the correct python environment).

However, when I start my cluster with --optional-components ANACONDA,JUPYTER my custom dependencies are removed and I'm left with a base installation of anaconda and jupyter. I assume the anaconda installation is overwriting my custom dependencies. Is there any way to ensure my dependencies aren't overwritten? If not, is it possible to install anaconda and jupyter as part of my custom dataproc image instead?

I've used the following command to create the custom image:

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ANSWER

Answered 2021-May-03 at 20:41

The customize_conda.sh script is the recommended way of customizing Conda env for custom images.

If you need more than the script does, you can read the code and create your own script, but anyway you want to use the absolute path e.g., /opt/conda/anaconda/bin/conda, /opt/conda/anaconda/bin/pip, /opt/conda/miniconda3/bin/conda, /opt/conda/miniconda3/bin/pip to install/uninstall packages for the Anaconda/Miniconda env.

Source https://stackoverflow.com/questions/67357670

QUESTION

Pip install error with pycontractions 'ERROR: Command errored out with exit status 1:'

Asked 2021-Feb-26 at 16:43

I am trying to install pycontractions, but it fails with error as below, any idea how to fix this?

I tried with conda but it does not have this package

pip install pycontractions

...

ANSWER

Answered 2021-Feb-26 at 16:34

pycontractions relies on language-check and the installation of language-check needs a specific java version, because it doesn't properly figure out the version and fails.

You can try to install jdk8 and make it your default java programm, but since it's pretty old and we're already at java15 you might also run into problems doing that.

Assuming you're using some sort of Debian/Ubuntu you can try:

Source https://stackoverflow.com/questions/66389354

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