def migrate_settings(cls, settings, version):
if "variance_covered" in settings:
# Due to the error in gh-1896 the variance_covered was persisted
# as a NaN value, causing a TypeError in the widgets `__init__`.
vc = settings["variance_covered"]
if isinstance(vc, numbers.Real):
if numpy.isfinite(vc):
vc = int(vc)
else:
vc = 100
settings["variance_covered"] = vc
if settings.get("ncomponents", 0) > MAX_COMPONENTS:
settings["ncomponents"] = MAX_COMPONENTS
def migrate_settings(cls, settings, version):
if "variance_covered" in settings:
# Due to the error in gh-1896 the variance_covered was persisted
# as a NaN value, causing a TypeError in the widgets `__init__`.
vc = settings["variance_covered"]
if isinstance(vc, numbers.Real):
if numpy.isfinite(vc):
vc = int(vc)
else:
vc = 100
settings["variance_covered"] = vc
if settings.get("ncomponents", 0) > MAX_COMPONENTS:
settings["ncomponents"] = MAX_COMPONENTS
# Remove old `decomposition_idx` when SVD was still included
settings.pop("decomposition_idx", None)
# Remove RemotePCA settings
settings.pop("batch_size", None)
settings.pop("address", None)
settings.pop("auto_update", None)
def migrate_settings(cls, settings, version):
if "variance_covered" in settings:
# Due to the error in gh-1896 the variance_covered was persisted
# as a NaN value, causing a TypeError in the widgets `__init__`.
vc = settings["variance_covered"]
if isinstance(vc, numbers.Real):
if numpy.isfinite(vc):
vc = int(vc)
else:
vc = 100
settings["variance_covered"] = vc
if settings.get("ncomponents", 0) > MAX_COMPONENTS:
settings["ncomponents"] = MAX_COMPONENTS
# Remove old `decomposition_idx` when SVD was still included
settings.pop("decomposition_idx", None)
# Remove RemotePCA settings
settings.pop("batch_size", None)
settings.pop("address", None)
settings.pop("auto_update", None)
