eo-learn | Earth observation processing framework for machine learning | Machine Learning library

by sentinel-hub Python Version: 1.5.5 License: MIT

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

kandi X-RAY | eo-learn Summary

eo-learn is a Python library typically used in Artificial Intelligence, Machine Learning applications. eo-learn has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install eo-learn' or download it from GitHub, PyPI.

eo-learn is divided into several subpackages according to different functionalities and external package dependencies. Therefore it is not necessary for user to install entire package but only the parts that he needs.

Support

Quality

Security

License

Reuse

Support

eo-learn has a medium active ecosystem.

It has 996 star(s) with 288 fork(s). There are 47 watchers for this library.

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

There are 13 open issues and 140 have been closed. On average issues are closed in 158 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of eo-learn is 1.5.5

Quality

eo-learn has no bugs reported.

Security

eo-learn has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

eo-learn is licensed under the MIT License. This license is Permissive.

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

Reuse

eo-learn releases are available to install and integrate.

Deployable package is available in PyPI.

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

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Return a rolling window of an array
Parse features
Execute the model
Map a function over a given axis
Map a function over a sequence of data
Compute the average of the data
Executes AgglomerativeCluster
Construct data from eopatch
Estimate rigid transformation
Apply the filter on the given eopatch
Configure GitHub link
Perform registration on given eopatch
Performs registration on image
Creates an HTML report
Execute raster
Process the README file
Performs vectorization
Evaluate the snow layer
Create a transformation matrix for two images
Execute the algorithm
Apply operation to data
Render the feature data
Parse features specification
Execute WMS request
Extract data
Convert an eopatch to xr Dataset

Get all kandi verified functions for this library.

eo-learn Key Features

No Key Features are available at this moment for eo-learn.

eo-learn Examples and Code Snippets

No Code Snippets are available at this moment for eo-learn.

Community Discussions

Trending Discussions on eo-learn

About an exception when OpenLRW is deploying into a mongo docker instance

QUESTION

About an exception when OpenLRW is deploying into a mongo docker instance

Asked 2017-Sep-14 at 15:31

SOLVED:

I have to run the docker image without --auth...

...

ANSWER

Answered 2017-Sep-14 at 15:22

It looks that you are trying to connect to your mongodb instance that is using authentication without user and password.

You should try :

Provide user and password to your configuration file to provide credentials
If is a development environment, disable auth and test that your application connects to mongod instance

Source https://stackoverflow.com/questions/46221443

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

Vulnerabilities

No vulnerabilities reported

Install eo-learn

You can install using 'pip install eo-learn' or download it from GitHub, PyPI.
You can use eo-learn 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.