pecos | PECOS - Prediction for Enormous and Correlated Spaces | Machine Learning library

 by   amzn Python Version: v1.0.0 License: Apache-2.0

kandi X-RAY | pecos Summary

kandi X-RAY | pecos Summary

pecos is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. pecos 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 pecos' or download it from GitHub, PyPI.

PECOS is a versatile and modular machine learning (ML) framework for fast learning and inference on problems with large output spaces, such as extreme multi-label ranking (XMR) and large-scale retrieval. PECOS' design is intentionally agnostic to the specific nature of the inputs and outputs as it is envisioned to be a general-purpose framework for multiple distinct applications. Given an input, PECOS identifies a small set (10-100) of relevant outputs from amongst an extremely large (~100MM) candidate set and ranks these outputs in terms of relevance.
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              pecos has a low active ecosystem.
              It has 430 star(s) with 96 fork(s). There are 21 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 2 open issues and 46 have been closed. On average issues are closed in 15 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of pecos is v1.0.0

            kandi-Quality Quality

              pecos has 0 bugs and 0 code smells.

            kandi-Security Security

              pecos has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              pecos code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              pecos is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              pecos 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, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pecos and discovered the below as its top functions. This is intended to give you an instant insight into pecos implemented functionality, and help decide if they suit your requirements.
            • Run fine tuning encoder .
            • parse command line arguments
            • Compute k - means clustering .
            • Link xlinear methods .
            • Train the dual dual dual dual dual dual dual method .
            • Train the model .
            • Compute kmeans clustering .
            • Run train .
            • Predict on selected outputs .
            • Load data from a text file .
            Get all kandi verified functions for this library.

            pecos Key Features

            No Key Features are available at this moment for pecos.

            pecos Examples and Code Snippets

            No Code Snippets are available at this moment for pecos.

            Community Discussions

            QUESTION

            Python Grab The Second Value, Ignore The First
            Asked 2021-Oct-06 at 15:21

            I am developing a function using Python scripting to grab a value from another text file.

            The text file contains :

            ...

            ANSWER

            Answered 2021-Oct-06 at 15:21

            The easiest would be to directly specify the array element you want:

            line=string.split(MATCHLINE,"=")[1]

            [0] = K260C
            [1] = CORD,PWR,125V,2.5A,1M,C5,US

            Source https://stackoverflow.com/questions/69468357

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

            Vulnerabilities

            No vulnerabilities reported

            Install pecos

            See other dependencies in setup.py You should install PECOS in a virtual environment. If you're unfamiliar with Python virtual environments, check out the user guide.
            Python (>=3.6)
            Pip (>=19.3)
            PECOS can be installed using pip as follows:.
            One needs to install at least one BLAS library to compile PECOS, e.g. OpenBLAS:.
            For Ubuntu (18.04, 20.04):
            For Amazon Linux 2 Image:
            For Ubuntu (18.04, 20.04):
            For Amazon Linux 2 Image and AMI:

            Support

            Ubuntu 18.04 and 20.04Amazon Linux 2
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