The fundamental kats data structure to store a time series. Mean values of the kats nowcasting algorithm time series outputs using the parameters (window, n_fast, n_slow) indicated above. In order to access much of the functionality in the kats library, users must initialize the timeseriesdata class with their data first.
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Mean values of the kats nowcasting algorithm. Default value is none, i.e. Source code for kats.models.arima #!/usr/bin/env python3 # copyright (c) facebook, inc.
Kats is released by facebook's infrastructure data.
Kats.utils.simulator module ¶ this module implements a simulator for generating synthetic time series data. Kats.consts.timeseriesdata) → pandas.core.frame.dataframe [source] ¶ converts a object of timeseriesdata to a dataframe, as. Classkats.detectors.outlier.outlierdetector(data:kats.consts.timeseriesdata, decomp:str='additive', iqr_mult:float=3.0)[source] ¶ bases: True if mat is positive definite returnnp.all(np.linalg.eigvals(mat)>0)def_create_model(self,data:timeseriesdata,params:params).
Kats.detectors.detector.detector this univariate outlier detection. Default status of the switch for calculate the features or not. # this source code is licensed under the mit license found in the # license file in the root. (1) mean of rate of change (roc) time.
