Kats.consts.timeseriesdata) → pandas.core.frame.dataframe [source] ¶ converts a object of timeseriesdata to a. In order to access much of the functionality in the kats library, users must initialize the timeseriesdata class with their data first. 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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Default value is none, i.e. Kats is released by facebook's. Default status of the switch for calculate the features or not.
Classkats.detectors.outlier.outlierdetector(data:kats.consts.timeseriesdata, decomp:str='additive', iqr_mult:float=3.0)[source] ¶ bases:
Mean values of the kats. The fundamental kats data structure to store a time series. Source code for kats.models.arima #!/usr/bin/env python3 # copyright (c) facebook, inc. (1) mean of rate of change (roc).
Mean values of the kats nowcasting algorithm time series outputs using the parameters (window, n_fast, n_slow) indicated above. 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.
