# This file contains metadata for your plugin. Since 
# version 2.0 of QGIS this is the proper way to supply 
# information about a plugin. The old method of 
# embedding metadata in __init__.py will 
# is no longer supported since version 2.0.

# This file should be included when you package your plugin.# Mandatory items:

[general]
name=dzetsaka : Classification tool
qgisMinimumVersion=3.0
description=Fast and Easy Classification plugin for Qgis
version=3.4.6
author=Nicolas Karasiak
email=karasiak.nicolas@gmail.com

about=
      Plugin for semi-automatic classification with Gaussian Mixture Model, Random Forest*, and SVM* classifiers.
      Very easy and fast to use.
      *You need to install scitkit-learn library to use these algorithms.
      For more information on this tool check our github :  https://github.com/lennepkade/dzetsaka/

tracker=https://github.com/lennepkade/dzetsaka/issues
repository=http://www.github.com/lennepkade/dzetsaka

# End of mandatory metadata

# Recommended items:

# Uncomment the following line and add your changelog:
changelog=
    3.4.6
      * Minor fixes and remove SLOO training due to error in code
	3.4.5
	  * Fix bug when predicting a raster with a previous model and no vector loaded in Qgis.
	3.4.4
	  * Remove install of sklearn with python pip (causes bugs).
	  * Force n_jobs=1 (1 cpu) while learning.
	3.4.2
	  * Fix bug when trying to install sklearn at launch.
        3.4.1
	  * Automatically install sklearn (if pip is installed)
	  * Precise in the confusion matrix that lines are references and columns prediction.
	3.4
	  * Add welcome message if first installation, with, I hope, good tips for new users
    	3.3.1
	  * Store settings with QSettings (keep settings when updating plugin now!)
	  * Correct bug when no nodata value was defined in raster source (default value now : -9999)
	3.3
	  * Correct error when chaining with dzetsaka in Processing Toolbox
	3.2
	  * Add Domain Adaptation in Processing Toolbox (thanks to POT library)
	  * In the settings box, you can choose to have experimental function in the Processing Toolbox
	  * Minor fixes
	3.1.1
	  * Select providers type (Standard or Experimental), to use latests code in the processing toolbox (but no guarantee at all).
	3.1
	  * Replace scipy with numpy when possible
	  * Correct bug in predicting an already trained model
	  * Specify a way on Windows to install scikit-learn and use SVM/RF/KNN
	3.0.3
	  * Add confirmation box if two different projections
	  * Correct bug when loading model
	3.0.2
	  * Add progress bar for GUI
	3.0.1
	  * Minor fixes (with icons)
	3.0.0
	  * First version of dzetsaka for Qgis 3.
	  * TODO : Progress bar when using UI.
	  * TODO : Historical Map algorithms

# Tags are comma separated with spaces allowed
tags=classification,semi-automatic,gaussian,mixture,model,random forest,svm,knn,forest,processing

homepage=http://www.github.com/lennepkade/dzetsaka
category=Raster
icon=icon.png

# experimental flag
experimental=False

# deprecated flag (applies to the whole plugin, not just a single version)
deprecated=False

