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version update for next release
1 parent bfaa22e commit 45a6416

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GANDLF/version.py

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#!/usr/bin/env python3
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# -*- coding: UTF-8 -*-
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__version__ = "0.0.15-dev"
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__version__ = "0.0.16-dev"

samples/config_all_options.yaml

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# affix version
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version:
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{
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minimum: 0.0.15,
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maximum: 0.0.15 # this should NOT be made a variable, but should be tested after every tag is created
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minimum: 0.0.16,
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maximum: 0.0.16 # this should NOT be made a variable, but should be tested after every tag is created
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}
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## Choose the model parameters here
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model:

samples/config_classification.yaml

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# affix version
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version:
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{
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minimum: 0.0.15,
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maximum: 0.0.15 # this should NOT be made a variable, but should be tested after every tag is created
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minimum: 0.0.16,
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maximum: 0.0.16 # this should NOT be made a variable, but should be tested after every tag is created
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}
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# Choose the model parameters here
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model:

samples/config_regression.yaml

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# affix version
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version:
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{
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minimum: 0.0.15,
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maximum: 0.0.15 # this should NOT be made a variable, but should be tested after every tag is created
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minimum: 0.0.16,
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maximum: 0.0.16 # this should NOT be made a variable, but should be tested after every tag is created
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}
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# Choose the model parameters here
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model:

samples/config_segmentation_brats.yaml

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# affix version
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version:
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{
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minimum: 0.0.15,
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maximum: 0.0.15 # this should NOT be made a variable, but should be tested after every tag is created
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minimum: 0.0.16,
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maximum: 0.0.16 # this should NOT be made a variable, but should be tested after every tag is created
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}
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# Choose the model parameters here
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model:

samples/config_segmentation_histology.yaml

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# affix version
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version:
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{
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minimum: 0.0.15,
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maximum: 0.0.15 # this should NOT be made a variable, but should be tested after every tag is created
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minimum: 0.0.16,
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maximum: 0.0.16 # this should NOT be made a variable, but should be tested after every tag is created
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}
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# Choose the model parameters here
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model:

testing/config_classification.yaml

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scaling_factor: 1
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scheduler: triangle
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version:
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maximum: 0.0.15
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maximum: 0.0.16
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minimum: 0.0.14
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weighted_loss: True
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which_model: resunet

testing/config_regression.yaml

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scaling_factor: 1
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scheduler: triangle
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version:
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maximum: 0.0.15
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maximum: 0.0.16
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minimum: 0.0.14
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weighted_loss: false
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which_model: resunet

testing/config_segmentation.yaml

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version:
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{
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minimum: 0.0.14,
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maximum: 0.0.15
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maximum: 0.0.16
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}
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model:
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{

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