predictSD-v1.1.0 Label Filtering

Filters can now be applied to label data of one or more models. This can be done in several ways:

1. Modification of the value of prediction_configuration keyword 'filters' before executing labelCollect.py.
2. By giving a list of filter tuples to CollectLabelData.__call__(), i.e. filters=[(model, column, value, filter type)]
3. By giving a similar list of tuples CollectLabelData.filter() after the label information has been collected.
4. Use CollectLabelData.output.filter_output() (i.e. OutputData.filter_output()) to apply a filter to a single label DataFrame.