MCPcopy
hub / github.com/microsoft/qlib / train_multiseg

Function train_multiseg

tests/test_contrib_workflow.py:34–44  ·  view source on GitHub ↗
(uri_path: str = None)

Source from the content-addressed store, hash-verified

32
33
34def train_multiseg(uri_path: str = None):
35 model = init_instance_by_config(CSI300_GBDT_TASK["model"])
36 dataset = init_instance_by_config(CSI300_GBDT_TASK["dataset"])
37 with R.start(experiment_name="workflow", uri=uri_path):
38 R.log_params(**flatten_dict(CSI300_GBDT_TASK))
39 model.fit(dataset)
40 recorder = R.get_recorder()
41 sr = MultiSegRecord(model, dataset, recorder)
42 sr.generate(dict(valid="valid", test="test"), True)
43 uri = R.get_uri()
44 return uri
45
46
47def train_mse(uri_path: str = None):

Callers 1

test_0_multisegMethod · 0.85

Calls 9

generateMethod · 0.95
init_instance_by_configFunction · 0.90
flatten_dictFunction · 0.90
MultiSegRecordClass · 0.90
get_uriMethod · 0.80
startMethod · 0.45
log_paramsMethod · 0.45
fitMethod · 0.45
get_recorderMethod · 0.45

Tested by

no test coverage detected