3da7e9997d00e36c56ca9d184d552b7c1c91ecbc,autosklearn/automl.py,AutoML,fit,#AutoML#Any#Any#Any#Any#Any#Any#,189

Before Change

        self._dataset_name = dataset_name
        self._stopwatch.start_task(self._dataset_name)

        logger_name = "AutoML(%d):%s" % (self._seed, dataset_name)
        setup_logger(os.path.join(self._tmp_dir, "%s.log" % str(logger_name)))
        self._logger = get_logger(logger_name)

        if isinstance(metric, str):
            metric = STRING_TO_METRIC[metric]

After Change

        self._dataset_name = datamanager.name
        self._fit(self._datamanager)

    def fit(self, X, y,
            task=MULTICLASS_CLASSIFICATION,
            metric="acc_metric",
            feat_type=None,
            dataset_name=None):
        if dataset_name is None:
            m = hashlib.md5()
            m.update(X.data)
            dataset_name = m.hexdigest()

        self._backend.save_start_time(self._seed)
        self._stopwatch = StopWatch()
        self._dataset_name = dataset_name
        self._stopwatch.start_task(self._dataset_name)

        self._logger = self._get_logger(dataset_name)

        if isinstance(metric, str):
            metric = STRING_TO_METRIC[metric]

Instances