revise.svc.SVC

class revise.svc.SVC(expr: <MagicMock id = '135707051377040'> | None, spatial: <MagicMock id = '135707051377040'> | None, svc_kind: str, cell_type_probs: <MagicMock id = '135707026109136'> | None = None, cell_type_label: <MagicMock id = '135707026144720'> | None = None, confidence: <MagicMock id = '135707026197840'> | None = None, provenance: Dict[str, ~typing.Any]=<factory>, quality_metrics: Dict[str, ~typing.Any]=<factory>, artifacts: Dict[str, ~typing.Any]=<factory>)[source]

Bases: object

Canonical result carrier for all unified REVISE runs.

__init__(expr: <MagicMock id = '135707051377040'> | None, spatial: <MagicMock id = '135707051377040'> | None, svc_kind: str, cell_type_probs: <MagicMock id = '135707023725904'> | None = None, cell_type_label: <MagicMock id = '135707023762896'> | None = None, confidence: <MagicMock id = '135707023800080'> | None = None, provenance: Dict[str, ~typing.Any]=<factory>, quality_metrics: Dict[str, ~typing.Any]=<factory>, artifacts: Dict[str, ~typing.Any]=<factory>) → None

Methods

`__init__`(expr, spatial, svc_kind, ...)
`summary`()

Attributes

`cell_type_label`
`cell_type_probs`
`confidence`
`n_obs`
`n_vars`
`expr`
`spatial`
`svc_kind`
`provenance`
`quality_metrics`
`artifacts`

expr: <MagicMock id='135707051377040'> | None

spatial: <MagicMock id='135707051377040'> | None

svc_kind: str

cell_type_probs: <MagicMock id='135707026637008'> | None = None

cell_type_label: <MagicMock id='135707026518224'> | None = None

confidence: <MagicMock id='135707024769744'> | None = None

provenance: Dict[str, Any]

quality_metrics: Dict[str, Any]

artifacts: Dict[str, Any]

property n_obs: int

property n_vars: int

summary() → Dict[str, Any][source]