identity

Identity transformation.

Classes

Identity

Identity transformation.

class Identity(metric, domain)

Bases: tmlt.core.transformations.base.Transformation

Identity transformation.

Parameters:

• metric (tmlt.core.metrics.Metric)

• domain (tmlt.core.domains.base.Domain)

property input_domain: tmlt.core.domains.base.Domain

Return input domain for the measurement.

Return type:

tmlt.core.domains.base.Domain

property input_metric: tmlt.core.metrics.Metric

Distance metric on input domain.

Return type:

tmlt.core.metrics.Metric

property output_domain: tmlt.core.domains.base.Domain

Return input domain for the measurement.

Return type:

tmlt.core.domains.base.Domain

property output_metric: tmlt.core.metrics.Metric

Distance metric on input domain.

Return type:

tmlt.core.metrics.Metric

__init__(metric, domain)

Constructor.

Parameters:

• metric (Metric) – Input/Output metric.

• domain (Domain) – Input/Output domain.

stability_function(d_in)

Returns the smallest d_out satisfied by the transformation.

The returned d_out is d_in.

Parameters:

d_in (Any) – Distance between inputs under input_metric.

Return type:

Any

__call__(data)

Return data.

Parameters:

data (Any)

Return type:

Any

stability_relation(d_in, d_out)

Returns True only if close inputs produce close outputs.

See the privacy and stability tutorial (add link?) for more information.

Parameters:

• d_in (Any) – Distance between inputs under input_metric.

• d_out (Any) – Distance between outputs under output_metric.

Return type:

bool

__or__(other: Transformation) → Transformation

__or__(other: tmlt.core.measurements.base.Measurement) → tmlt.core.measurements.base.Measurement

Return this transformation chained with another component.