Model context condition, made up of a boolean composition of wanted
and unwanted features. This is specified by a dictionary of feature
objects mapping to True (wanted feature) or False (unwanted feature).
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__init__(self,
feature_composition_dict)
x.__init__(...) initializes x; see x.__class__.__doc__ for signature |
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set_ref_traj(self,
ref_traj)
Set reference trajectory for the features (if used, otherwise will be
ignored or overridden in feature _local_init methods). |
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evaluate(self,
target)
Apply conditions to trajectory segments and returns True if all are
satisfied. |
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__call__(self,
target)
Apply conditions to trajectory segments and returns True if all are
satisfied. |
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_residual_info(self)
Update metric information used for residual / objective function,
from all sub-features. |
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collate_results(self,
result_name,
merge_lists=False,
feature_names=None) |
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Inherited from object :
__delattr__ ,
__getattribute__ ,
__hash__ ,
__new__ ,
__reduce__ ,
__reduce_ex__ ,
__setattr__
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