langtest.transform.clinical.ClinicalNoteSummary#

class ClinicalNoteSummary#

Bases: BaseClinical

ClinicalSummary class for the clinical tests

__init__()#

Methods

__init__()

aci_dialog()

ACI Dialog class for the clinical tests

async_run(*args, **kwargs)

Async run method for the clinical tests

available_tests()

Available tests for the clinical tests

get_instructions(sample)

Get MTS Dialog dataset

mts_dialog()

MTS Dialog class for the clinical tests

run(sample_list, model, *args, **kwargs)

Run method for the ClinicalSummary class

transform(sample_list, *args, **kwargs)

Transform method for the ClinicalSummary class

Attributes

alias_name

supported_tasks

test_types

class TestConfig#

Bases: dict

clear() None.  Remove all items from D.#
copy() a shallow copy of D#
fromkeys(value=None, /)#

Create a new dictionary with keys from iterable and values set to value.

get(key, default=None, /)#

Return the value for key if key is in the dictionary, else default.

items() a set-like object providing a view on D's items#
keys() a set-like object providing a view on D's keys#
pop(k[, d]) v, remove specified key and return the corresponding value.#

If the key is not found, return the default if given; otherwise, raise a KeyError.

popitem()#

Remove and return a (key, value) pair as a 2-tuple.

Pairs are returned in LIFO (last-in, first-out) order. Raises KeyError if the dict is empty.

setdefault(key, default=None, /)#

Insert key with a value of default if key is not in the dictionary.

Return the value for key if key is in the dictionary, else default.

update([E, ]**F) None.  Update D from dict/iterable E and F.#

If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]

values() an object providing a view on D's values#
static aci_dialog()#

ACI Dialog class for the clinical tests

async classmethod async_run(*args, **kwargs)#

Async run method for the clinical tests

classmethod available_tests() Dict[str, BaseClinical]#

Available tests for the clinical tests

classmethod get_instructions(sample: Sample) str#

Get MTS Dialog dataset

static mts_dialog()#

MTS Dialog class for the clinical tests

async static run(sample_list: List[Sample], model: ModelAPI, *args, **kwargs)#

Run method for the ClinicalSummary class

static transform(sample_list: List[Sample], *args, **kwargs)#

Transform method for the ClinicalSummary class