Plugins are loaded asynchronously, so don't worry if the activate method takes too long. The plugin will be marked as activated once it is finished executing the method.
Training a classifier can be time time consuming. To avoid running the training unnecessarily, you can use ShelfMixin to store the classifier. For instance:
..code:: python
from senpy.plugins import ShelfMixin, SenpyPlugin
class MyPlugin(ShelfMixin, SenpyPlugin):
def train(self):
''' Code to train the classifier
'''
# Here goes the code
# ...
return classifier
def activate(self):
if 'classifier' not in self.sh:
classifier = self.train()
self.sh['classifier'] = classifier
self.classifier = self.sh['classifier']
def deactivate(self):
self.close()
You can speficy a 'shelf_file' in your .senpy file. By default the ShelfMixin creates a file based on the plugin name and stores it in that plugin's folder.
