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Deprecated InterfacesInterfaceDescriptionExperimental: Might change in future releases.Experimental: Might change in future releases. Aggregating a numerical signal over the time window given by min and max lags. Numeric input and ouput.Experimental: Might change in future releases. A DtoFourierTransformFunction performs a Fourier transform on the input. Numeric input and complex vector output.Experimental: Might change in future releases.Experimental: Might change in future releases.Experimental: Might change in future releases. A feature created from a source aspect by applying a categorical aggregated function to it.Experimental: Might change in future releases.Experimental: Might change in future releases.Experimental: Might change in future releases.Experimental: Might change in future releases. Input configuration for defining which prediction values are normal.Experimental: Might change in future releases.Experimental: Might change in future releases.Experimental: Might change in future releases.Experimental: Might change in future releases.Experimental: Might change in future releases.
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Deprecated ClassesClassDescriptionExperimental: Might change in future releases. Aggregating a categorical signal over the time window given by min and max lags. The source of the function is DtoCategoryEqualsFunction. Numeric input and ouput.Experimental: Might change in future releases. Aggregating a numerical signal over the time window given by min and max lags. Numeric input and ouput.Experimental: Might change in future releases.Experimental: Might change in future releases.Experimental: Might change in future releases. A DtoPowerSpectrumFunction returns the logarithm of the power in some frequency band. Complex vector input and numeric output.Experimental: Might change in future releases.Experimental: Might change in future releases.Experimental: Might change in future releases. Report with all the invariant subspaces.Experimental: Might change in future releases.Experimental: Might change in future releases. Input configuration for defining which prediction values are normal.Experimental: Might change in future releases.Experimental: Might change in future releases.Experimental: Might change in future releases.Experimental: Might change in future releases.Experimental: Might change in future releases. Configuration of outer linear constraints.
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Deprecated MethodsMethodDescriptionExperimental: Might change in future releases.Experimental: Might change in future releases. Information about this Model and its creation; not needed for inferenceExperimental: Might change in future releases.Experimental: Might change in future releases.Experimental: Might change in future releases. The higher the preference, the more likely the signal will be used in the model. A considerable preference is obtained for a value of 1.0.Experimental: Might change in future releases. The higher the preference, the more likely the signal will be used in the model. A considerable preference is obtained for a value of 1.0.Experimental: Might change in future releases. The higher the preference, the more likely the signal will be used in the model. A considerable preference is obtained for a value of 1.0.Experimental: Might change in future releases.Experimental: Might change in future releases.Experimental: Might change in future releases. The higher the preference, the more likely the signal will be used in the model. A considerable preference is obtained for a value of 1.0.Experimental: Might change in future releases.