incremented version for new release and added details to example mode…

…l configs

sup3r/configs/solar_cc/README.rst

@@ -2,7 +2,7 @@
 Spatiotemporal Super Resolving GAN configs for Solar Climate Change Applications
 *********************************************************************************
 
-This directory saves standard configs for spatiotemporal super resolving GAN
+This directory saves example configs for spatiotemporal super resolving GAN
 models based on the NSRDB for solar climate change applications. All generator
 model configs should start with "gen_*" and should have two "4x" tags (4 for
 example) that represents the spatial and temporal enhancements that the
@@ -11,3 +11,8 @@ number of output features.
 
 For example "gen_2x_24x_2f.json" is a model that would enhance a 4km daily
 spatiotemporal field to 2km hourly with 2 output features.
+
+These configs are only examples and are not guaranteed to be the models used in
+producing actual production datasets. For the final model architectures, see
+the global file attributes associated with sup3r output h5 files which should
+contain all model meta data.

sup3r/configs/spatial/README.rst

@@ -2,10 +2,15 @@
 Spatial Super Resolving GAN configs
 ***********************************
 
-This directory saves standard configs for spatial-only super resolving GAN
+This directory saves example configs for spatial-only super resolving GAN
 models. All generator model configs should start with "gen_*" and should have a
 "4x" tag (for example) that represents the spatial enhancement that the
 generator is designed for and one "2f" tag that represents the number of output
 
 For example "gen_2x_2f.json" is a model that would enhance a 4km hourly
 spatial field to 2km hourly with 2 output features.
+
+These configs are only examples and are not guaranteed to be the models used in
+producing actual production datasets. For the final model architectures, see
+the global file attributes associated with sup3r output h5 files which should
+contain all model meta data.

sup3r/configs/spatiotemporal/README.rst

@@ -2,11 +2,16 @@
 Spatiotemporal Super Resolving GAN configs
 ******************************************
 
-This directory saves standard configs for spatiotemporal super resolving GAN
+This directory saves example configs for spatiotemporal super resolving GAN
 models. All generator model configs should start with "gen_*" and should have
 two "4x" tags (4 for example) that represents the spatial and temporal
 enhancements that the generator is designed for respectively and one "2f" tag
 that represents the number of output features.
 
 For example "gen_2x_24x_2f.json" is a model that would enhance a 4km daily
 spatiotemporal field to 2km hourly with 2 output features.
+
+These configs are only examples and are not guaranteed to be the models used in
+producing actual production datasets. For the final model architectures, see
+the global file attributes associated with sup3r output h5 files which should
+contain all model meta data.

sup3r/version.py

@@ -1,4 +1,4 @@
 # -*- coding: utf-8 -*-
 """SUP3R Version"""
 
-__version__ = '0.0.4'
+__version__ = '0.0.5'