630a400af2bffc27a173acf876d72a1a10cd2dbf,ilastik/applets/base/appletSerializer.py,SerialClassifierSlot,_serialize,#SerialClassifierSlot#Any#Any#Any#,465

Before Change

        // our open hdf5 group. Instead, we"ll use vigra to write the
        // classifier to a temporary file.
        tmpDir = tempfile.mkdtemp()
        cachePath = os.path.join(tmpDir, "tmp_classifier_cache.h5").replace("\\", "/")
        for i, forest in enumerate(classifier_forests):
            targetname = "{0}/{1}".format(name, self.subname.format(i))
            forest.writeHDF5(cachePath, targetname)

After Change

            return

        cache_contents = self.cache._value
        assert cache_contents.shape == (1,)
        classifier = cache_contents[0]

        // Classifier can be None if there isn"t any training data yet.
        if classifier is None:

Instances