howso.client.typing

Classes

Cases	Representation of a table of cases.
Distances	Representation of a case distances result.
Evaluation	Representation of an Evaluate result.

Attributes

CaseIndices	Sequence of case_indices tuples.
GenerateNewCases	Valid values for generate_new_cases parameters.
LibraryType	Valid values for library_type parameters.
Mode	Valid values for mode parameters.
NewCaseThreshold	Valid values for new_case_threshold parameters.
NormalizeMethod	Valid values for normalize_method parameters.
PathLike	Objects which can be interpreted as paths.
Persistence	Valid values for persistence parameters.
Precision	Valid values for precision parameters.
SeriesIDTracking	Valid values for series_id_tracking parameters.
TabularData2D	2-dimensional tabular data.
TabularData3D	3-dimensional tabular (i.e., time-series) data.
TargetedModel	Valid values for targeted_model parameters.
AblationThresholdMap	Threshold map(s) for auto-ablation and data reduction.

class howso.client.typing.Cases

Bases: TypedDict

Representation of a table of cases.

cases: list[list[Any]]

Matrix of row and column values.

features: list[str]

The feature column names.

class howso.client.typing.Distances

Bases: TypedDict

Representation of a case distances result.

case_indices: Sequence[tuple[str, int]]

The corresponding distances case indices.

distances: DataFrame

The matrix of computed distances.

class howso.client.typing.Evaluation

Bases: TypedDict

Representation of an Evaluate result.

aggregated: Any

The aggregated evaluation output.

evaluated: dict[str, list[Any]]

A mapping of feature names to lists of values.

howso.client.typing.AblationThresholdMap

Threshold map(s) for auto-ablation and data reduction.

alias of dict[Literal[‘accuracy’, ‘adjusted_smape’, ‘mcc’, ‘missing_value_accuracy’, ‘precision’, ‘r2’, ‘recall’, ‘rmse’, ‘smape’, ‘spearman_coeff’], dict[str, float]]

howso.client.typing.CaseIndices

Sequence of case_indices tuples.

alias of Sequence[tuple[str, int]]

howso.client.typing.GenerateNewCases

Valid values for generate_new_cases parameters.

alias of Literal[‘always’, ‘attempt’, ‘no’]

howso.client.typing.LibraryType

Valid values for library_type parameters.

alias of Literal[‘st’, ‘mt’]

howso.client.typing.Mode

Valid values for mode parameters.

alias of Literal[‘robust’, ‘full’]

howso.client.typing.NewCaseThreshold

Valid values for new_case_threshold parameters.

alias of Literal[‘max’, ‘min’, ‘most_similar’]

howso.client.typing.NormalizeMethod

Valid values for normalize_method parameters.

alias of Literal[‘fractional_absolute’, ‘fractional’, ‘relative’]

howso.client.typing.PathLike

Objects which can be interpreted as paths.

alias of str | PathLike

howso.client.typing.Persistence

Valid values for persistence parameters.

alias of Literal[‘allow’, ‘always’, ‘never’]

howso.client.typing.Precision

Valid values for precision parameters.

alias of Literal[‘exact’, ‘similar’]

howso.client.typing.SeriesIDTracking

Valid values for series_id_tracking parameters.

alias of Literal[‘fixed’, ‘dynamic’, ‘no’]

howso.client.typing.TabularData2D

2-dimensional tabular data.

alias of DataFrame | list[list[Any]]

howso.client.typing.TabularData3D

3-dimensional tabular (i.e., time-series) data.

alias of list[DataFrame] | list[list[list[Any]]]

howso.client.typing.TargetedModel

Valid values for targeted_model parameters.

alias of Literal[‘single_targeted’, ‘omni_targeted’, ‘targetless’]