aliby.baby_client.BabyParameters

class BabyParameters(model_config, tracker_params, clogging_thresh, min_bud_tps, isbud_thresh, session, graph, print_info, suppress_errors, error_dump_dir, tf_version)

Bases: ParametersABC

Defines parameters as attributes

Methods

default(**kwargs)	kwargs passes values to the model chooser
from_yaml(source)	Returns instance from a yaml filename or stdin
to_dict([iterable])	Recursive function to return a nested dictionary of the attributes of the class instance.
to_yaml([path])	Returns a yaml stream of the attributes of the class instance.
update(name, new_value)	Update values recursively if name is a dictionary, replace data where existing found or add if not.
update_baby_modelset(path)	Replace default BABY model and flattener with another one from a folder outputted by our standard retraining script.

from_dict

__init__(model_config, tracker_params, clogging_thresh, min_bud_tps, isbud_thresh, session, graph, print_info, suppress_errors, error_dump_dir, tf_version)

Defines parameters as attributes

Methods

__init__(model_config, tracker_params, ...)	Defines parameters as attributes
default(**kwargs)	kwargs passes values to the model chooser
from_dict(d)
from_yaml(source)	Returns instance from a yaml filename or stdin
to_dict([iterable])	Recursive function to return a nested dictionary of the attributes of the class instance.
to_yaml([path])	Returns a yaml stream of the attributes of the class instance.
update(name, new_value)	Update values recursively if name is a dictionary, replace data where existing found or add if not.
update_baby_modelset(path)	Replace default BABY model and flattener with another one from a folder outputted by our standard retraining script.

classmethod default(**kwargs)

kwargs passes values to the model chooser

classmethod from_yaml(source)

Returns instance from a yaml filename or stdin

to_dict(iterable='null')

Recursive function to return a nested dictionary of the attributes of the class instance.

Return type

Dict

to_yaml(path=None)

Returns a yaml stream of the attributes of the class instance. If path is provided, the yaml stream is saved there.

Parameters

pathUnion[PosixPath, str]

Output path.

update(name, new_value)

Update values recursively if name is a dictionary, replace data where existing found or add if not. It warns against type changes.

If the existing structure under name is a dictionary, it looks for the first occurrence and modifies it accordingly.

If a leaf node that is to be changed is a collection, it adds the new elements.

update_baby_modelset(path)

Replace default BABY model and flattener with another one from a folder outputted by our standard retraining script.