Python TrackingModel Examples

Example #1

File: evaluator.py Project: sylvestre/services

    def eval_tracking(self):
        results = []

        model = TrackingModel.load('trackingmodel')
        for bug in bugzilla.get_bugs():
            if self.is_tracking_decision_made(bug):
                continue

            if model.classify(bug)[0] == 1:
                results.append(bug['id'])

        with open('tracking.json', 'w') as f:
            json.dump(results, f)

Example #2

File: evaluator.py Project: La0/mozilla-relengapi

    def eval_tracking(self):
        results = []

        model = TrackingModel.load('trackingmodel')
        for bug in bugzilla.get_bugs():
            if self.is_tracking_decision_made(bug):
                continue

            if model.classify(bug)[0] == 1:
                results.append(bug['id'])

        with open('tracking.json', 'w') as f:
            json.dump(results, f)

Example #3

File: test_tracking.py Project: yuyan9/bugbug

def test_get_tracking_labels():
    model = TrackingModel()
    classes, _ = model.get_labels()
    assert not classes[1101825]
    assert classes[1042096]

Example #4

File: trainer.py Project: rhcu/bugbug

 def train_tracking(self):
     logger.info("Training *tracking* model")
     model = TrackingModel()
     model.train()
     self.compress_file("trackingmodel")

Example #5

File: trainer.py Project: mythmon/bugbug

 def train_tracking(self):
     logger.info("Training *tracking* model")
     model = TrackingModel()
     model.train()
     self.compress_file("trackingmodel")