pipelinex | Python package to build ML pipelines | Machine Learning library

by Minyus Python Version: 0.7.9 License: Non-SPDX

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

kandi X-RAY | pipelinex Summary

pipelinex is a Python library typically used in Artificial Intelligence, Machine Learning, Docker applications. pipelinex has no bugs, it has no vulnerabilities, it has build file available and it has low support. However pipelinex has a Non-SPDX License. You can install using 'pip install pipelinex' or download it from GitHub, PyPI.

PipelineX is a Python package to build ML pipelines for experimentation with Kedro, MLflow, and more. PipelineX provides the following options which can be used independently or together. Please refer here to find out how PipelineX differs from other pipeline/workflow packages: Airflow, Luigi, Gokart, Metaflow, and Kedro.

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Quality

Security

License

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Support

pipelinex has a low active ecosystem.

It has 143 star(s) with 10 fork(s). There are 4 watchers for this library.

There were 3 major release(s) in the last 12 months.

There are 0 open issues and 9 have been closed. On average issues are closed in 24 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pipelinex is 0.7.9

Quality

pipelinex has 0 bugs and 0 code smells.

Security

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

pipelinex code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pipelinex has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

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.

pipelinex saves you 2831 person hours of effort in developing the same functionality from scratch.

It has 6371 lines of code, 542 functions and 109 files.

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

Top functions reviewed by kandi - BETA

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

Run the builder
Log the time of a data set
Save the pipeline as JSON
Save a data set
Load the dataset
Get a value from the egg
Helper function to apply ds
Matches a dictionary of attributes
Save the data
Measure memory usage
Generates a pandas dataframe for the run
Log the execution time of a function
Saves the given data
Setup convolution parameters
Decorator to profile VMs
Log the time of a function
Load callables from a function or module
Load data
Logs metrics after a pipeline run
Called before a pipeline run
Runs time after a node run
Execute the request
Create a data catalog from the given configuration
Decorator to convert a function to a dict
Log the outputs of a node
Loads an image folder

Get all kandi verified functions for this library.

pipelinex Key Features

No Key Features are available at this moment for pipelinex.

pipelinex Examples and Code Snippets

No Code Snippets are available at this moment for pipelinex.

Community Discussions

Trending Discussions on pipelinex

resolving instance of class inside of method using autofac

QUESTION

resolving instance of class inside of method using autofac

Asked 2018-Oct-25 at 14:13

Using this PipelineX class below, is there any way to resolve the filters applied to the pipline without injecting the autofac container and calling _container.Resolve();

...

ANSWER

Answered 2018-Oct-25 at 14:04

To avoid the usage of Autofac as a service locator you can register your own factory method into it, in this case:

Source https://stackoverflow.com/questions/52989664

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

Vulnerabilities

No vulnerabilities reported

Install pipelinex

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