deepr.macros.MLFlowInit

class deepr.macros.MLFlowInit(use_mlflow=False, run_name=None, tracking_uri=None, experiment_name=None, artifact_location=None, url_formatter=<function internal_url_formatter>, run_id=None)

MLFlow Macro initializes MLFlow run and sets MLFlow parameters

__init__(use_mlflow=False, run_name=None, tracking_uri=None, experiment_name=None, artifact_location=None, url_formatter=<function internal_url_formatter>, run_id=None)

Methods

__init__([use_mlflow, run_name, ...])
clear()
copy()
fromkeys([value])	Returns a new dict with keys from iterable and values equal to value.
get(k[,d])
items()
keys()
pop(k[,d])	If key is not found, d is returned if given, otherwise KeyError is raised
popitem()	2-tuple; but raise KeyError if D is empty.
setdefault(k[,d])
update([E, ]**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()