"model": detector.InterQuartileRangeAD(c=(2, None)),
"s": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
"a": {"abs_low_": 2.5 - 10, "abs_high_": float("inf")},
},
{
"model": detector.InterQuartileRangeAD(c=(None, 4)),
"s": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
"a": {"abs_low_": -float("inf"), "abs_high_": 7.5 + 20},
},
{
"model": detector.InterQuartileRangeAD(c=None),
"s": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
"a": {"abs_low_": -float("inf"), "abs_high_": float("inf")},
},
{
"model": detector.SeasonalAD(freq=4),
"s": [0, 1, 2, 1] * 10,
"a": {"freq_": 4, "seasonal_": [0, 1, 2, 1]},
},
{
"model": detector.SeasonalAD(freq=8),
"s": [0, 1, 2, 1] * 10,
"a": {"freq_": 8, "seasonal_": [0, 1, 2, 1, 0, 1, 2, 1]},
},
{
"model": detector.SeasonalAD(),
"s": [0, 1, 2, 1] * 10,
"a": {"freq_": 4, "seasonal_": [0, 1, 2, 1]},
},
{
"model": detector.SeasonalAD(trend=True),
# We have 4 types of models
# - one-to-one: input a univariate series, output a univariate series
# - one-to-many: input a univariate series, output a multivariate series
# - many-to-one: input a multivariate series, output a univariate series
# - many-to-many: input a multivariate series, output a multivariate series
one2one_models = [
detector.ThresholdAD(),
detector.QuantileAD(),
detector.InterQuartileRangeAD(),
detector.GeneralizedESDTestAD(),
detector.PersistAD(),
detector.LevelShiftAD(),
detector.VolatilityShiftAD(),
detector.AutoregressionAD(),
detector.SeasonalAD(freq=2),
transformer.RollingAggregate(agg="median"),
transformer.RollingAggregate(agg="quantile", agg_params={"q": 0.5}),
transformer.DoubleRollingAggregate(agg="median"),
transformer.DoubleRollingAggregate(
agg="quantile", agg_params={"q": [0.1, 0.5, 0.9]}
),
transformer.DoubleRollingAggregate(
agg="hist", agg_params={"bins": [30, 50, 70]}
),
transformer.StandardScale(),
transformer.ClassicSeasonalDecomposition(freq=2),
]
one2many_models = [
transformer.RollingAggregate(
"s": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
"a": {
"abs_low_": -float("inf"),
"abs_high_": 7.5 + 20
},
},
{
"model": detector.InterQuartileRangeAD(c=None),
"s": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
"a": {
"abs_low_": -float("inf"),
"abs_high_": float("inf")
},
},
{
"model": detector.SeasonalAD(method="naive", freq=4),
"s": [0, 1, 2, 1] * 10,
"a": {
"freq_": 4,
"seasonal_": [0, 1, 2, 1]
},
},
{
"model": detector.SeasonalAD(method="naive", freq=8),
"s": [0, 1, 2, 1] * 10,
"a": {
"freq_": 8,
"seasonal_": [0, 1, 2, 1, 0, 1, 2, 1]
},
},
{
