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