modelaverage

`modelaverage` is a pip package which make the average weight of model weight in `same models`, inspired by [Average weights in keras models](https://stackoverflow.com/questions/48212110/average-weights-in-keras-models). I created this pip package to use distributed computing environment like `kubernetes`.

Usage

pip install modelaverage or git clone https://github.com/graykode/modelaverage && python setup.py install
using function average(modellist)
- modellist : list of model file names.
- return : averaged weight model

Example

Please see example

import tensorflow as tf
from modelaverage import average

modellist = ['models/mnist1.h5', 'models/mnist2.h5', 'models/mnist3.h5', 'models/mnist4.h5', 'models/mnist5.h5',
             'models/mnist6.h5', 'models/mnist7.h5', 'models/mnist8.h5', 'models/mnist9.h5']

averaged_model = average(modellist)

for w in averaged_model.get_weights():
    print(w.shape)

Author

Name : Tae Hwan Jung(@graykode)
Email : nlkey2022@gmail.com

Metadata

Release files for modelaverage 1.0.1

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Source distribution for modelaverage 1.0.1
File	Size	Uploaded	Provenance	Actions
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Table of built distributions (wheels) for modelaverage 1.0.1
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modelaverage-1.0.1-py3.6.egg 3.8 kB Mar 12, 2019 Without provenance	Legacy Egg format	-	-	Details for modelaverage-1.0.1-py3.6.egg

Total release size: 6.0 kB

Release files / modelaverage-1.0.1.tar.gz

Download URL	modelaverage-1.0.1.tar.gz
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Upload date	Mar 12, 2019
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Uploaded via	`twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.7`

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Mar 12, 2019 2 release files No provenance

1.0.0