def __init__(self,
w_martingale=15,
non_conformity="median",
k=20,
dev_threshold=0.6,
ref_group="month"):
utils.validate_individual_deviation_params(w_martingale,
non_conformity, k,
dev_threshold, ref_group)
self.w_martingale = w_martingale
self.non_conformity = non_conformity
self.k = k
self.dev_threshold = dev_threshold
self.ref_group = ref_group
self.strg = Strangeness(non_conformity, k)
self.scores = []
self.T, self.S, self.P, self.M = [], [], [], []
self.mart = 0
self.marts = [0, 0, 0]
self.df = pd.DataFrame(data=[], index=[])
self.externals = []
def __init__(self,
w_martingale=15,
non_conformity="median",
k=20,
dev_threshold=0.6,
ref_group=["season-of-year"],
external_percentage=0.3,
columns=None):
utils.validate_individual_deviation_params(w_martingale,
non_conformity, k,
dev_threshold, ref_group)
self.w_martingale = w_martingale
self.non_conformity = non_conformity
self.k = k
self.dev_threshold = dev_threshold
self.ref_group = ref_group
self.external_percentage = external_percentage
self.columns = columns
self.strg = get_strangeness(non_conformity, k)
self.T, self.S, self.P, self.M = [], [], [], []
self.representatives, self.diffs = [], []
self.mart = 0
self.marts = [0, 0, 0]
self.df = pd.DataFrame(index=[], data=[])
self.externals = []
self.df_init = pd.DataFrame(index=[], data=[])
self.externals_init = []
def __init__(self,
w_martingale=15,
non_conformity="median",
k=20,
dev_threshold=0.6,
columns=None):
utils.validate_individual_deviation_params(w_martingale,
non_conformity, k,
dev_threshold)
self.w_martingale = w_martingale
self.non_conformity = non_conformity
self.k = k
self.dev_threshold = dev_threshold
self.columns = columns
self.strg = get_strangeness(non_conformity, k)
self.T, self.S, self.P, self.M = [], [], [], []
self.representatives, self.diffs = [], []
self.mart = 0
self.marts = [0, 0, 0]
self.history_data = []