eo-learn | Earth observation processing framework for machine learning | Machine Learning library
kandi X-RAY | eo-learn Summary
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.
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.
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Quality
Security
License
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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 2 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.
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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
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 15:22It 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
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.
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.
Support
For more information on the package content, visit readthedocs.
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