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