egttools.numerical.results.StrategyDistributionResult

class StrategyDistributionResult(mean, stderr, nb_runs, strategy_names=None)

Bases: object

Time-averaged strategy frequencies with uncertainty.

Methods

Attributes

ci95
strategy_names
mean
stderr
nb_runs

__eq__(other)

Return self==value.

__init__(mean, stderr, nb_runs, strategy_names=None)

__repr__()

Return repr(self).

Return type:

str

__annotations__ = {'mean': 'np.ndarray', 'nb_runs': 'int', 'stderr': 'np.ndarray', 'strategy_names': 'Optional[Sequence[str]]'}

__dataclass_fields__ = {'mean': Field(name='mean',type='np.ndarray',default=<dataclasses._MISSING_TYPE object>,default_factory=<dataclasses._MISSING_TYPE object>,init=True,repr=True,hash=None,compare=True,metadata=mappingproxy({}),kw_only=False,_field_type=_FIELD), 'nb_runs': Field(name='nb_runs',type='int',default=<dataclasses._MISSING_TYPE object>,default_factory=<dataclasses._MISSING_TYPE object>,init=True,repr=True,hash=None,compare=True,metadata=mappingproxy({}),kw_only=False,_field_type=_FIELD), 'stderr': Field(name='stderr',type='np.ndarray',default=<dataclasses._MISSING_TYPE object>,default_factory=<dataclasses._MISSING_TYPE object>,init=True,repr=True,hash=None,compare=True,metadata=mappingproxy({}),kw_only=False,_field_type=_FIELD), 'strategy_names': Field(name='strategy_names',type='Optional[Sequence[str]]',default=None,default_factory=<dataclasses._MISSING_TYPE object>,init=True,repr=False,hash=None,compare=True,metadata=mappingproxy({}),kw_only=False,_field_type=_FIELD)}

__dataclass_params__ = _DataclassParams(init=True,repr=True,eq=True,order=False,unsafe_hash=False,frozen=False)

__hash__ = None

__match_args__ = ('mean', 'stderr', 'nb_runs', 'strategy_names')

property ci95: Tuple[ndarray, ndarray]

mean: ndarray

nb_runs: int

stderr: ndarray

strategy_names: Optional[Sequence[str]] = None