concepts.dm.pdsketch.regression_utils.ApplicableRegressionRuleItem#
- class ApplicableRegressionRuleItem[source]#
Bases:
NamedTupleApplicableRegressionRuleItem(regression_rule, bounded_variables)
Methods
count(value, /)Return number of occurrences of value.
index(value[, start, stop])Return first index of value.
Attributes
Alias for field number 1
Alias for field number 0
- __add__(value, /)#
Return self+value.
- __getitem__(key, /)#
Return self[key].
- __init__()#
- __iter__()#
Implement iter(self).
- __len__()#
Return len(self).
- __mul__(value, /)#
Return self*value.
- static __new__(_cls, regression_rule, bounded_variables)#
Create new instance of ApplicableRegressionRuleItem(regression_rule, bounded_variables)
- Parameters:
regression_rule (RegressionRule)
bounded_variables (None | Sequence[Variable] | Dict[str | Variable, str | int | slice | bool | float | Tensor | TensorValue | ObjectConstant | StateObjectReference] | Dict[str, Dict[str, StateObjectReference | slice | TensorValue]])
- count(value, /)#
Return number of occurrences of value.
- index(value, start=0, stop=9223372036854775807, /)#
Return first index of value.
Raises ValueError if the value is not present.
- bounded_variables: None | Sequence[Variable] | Dict[str | Variable, str | int | slice | bool | float | Tensor | TensorValue | ObjectConstant | StateObjectReference] | Dict[str, Dict[str, StateObjectReference | slice | TensorValue]]#
Alias for field number 1
- regression_rule: RegressionRule#
Alias for field number 0