adams.flow.transformer.TimeseriesFilter
Filters data using the specified filter.
The internal filter can be output alongside the filtered data when outputting a container.
Flow input/output:
- input: adams.data.container.DataContainer, adams.data.timeseries.Timeseries, adams.data.container.DataContainer[], adams.data.timeseries.Timeseries[]
- output: adams.data.container.DataContainer, adams.data.timeseries.Timeseries, adams.data.container.DataContainer[], adams.data.timeseries.Timeseries[]
The logging level for outputting errors and debugging output.
command-line | -logging-level <OFF|SEVERE|WARNING|INFO|CONFIG|FINE|FINER|FINEST> |
default | WARNING |
min-user-mode | Expert |
The name of the actor.
command-line | -name <java.lang.String> |
default | TimeseriesFilter |
The annotations to attach to this actor.
command-line | -annotation <adams.core.base.BaseAnnotation> |
default |
|
If set to true, transformation is skipped and the input token is just forwarded as it is.
command-line | -skip <boolean> |
default | false |
If set to true, the flow execution at this level gets stopped in case this actor encounters an error; the error gets propagated; useful for critical actors.
command-line | -stop-flow-on-error <boolean> |
default | false |
min-user-mode | Expert |
If enabled, then no errors are output in the console; Note: the enclosing actor handler must have this enabled as well.
command-line | -silent <boolean> |
default | false |
min-user-mode | Expert |
The filter to use for filtering the data.
command-line | -filter <adams.data.filter.Filter> |
default | adams.data.filter.PassThrough |
The variable to monitor for resetting trainable batch filters.
command-line | -var-name <adams.core.VariableName> |
default | variable |
If enabled, outputs the filter along side the filtered data in a adams.flow.container.TimeseriesFilterContainer.
command-line | -output-container <boolean> |
default | false |