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parse invert_hash #76

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parse invert_hash #76

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28 changes: 26 additions & 2 deletions from_mwt_ds/DataScience/vw_executor/artifacts.py
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Original file line number Diff line number Diff line change
Expand Up @@ -216,17 +216,41 @@ class Model9(Artifact):
def __init__(self, path: Union[str, Path]):
super().__init__(path)

@staticmethod
def parse_invert_hash(s: str, weight: Dict):
def get_ns(s: str) -> str:
split = s.split('^')
return "^".join(split[:-1]), split[-1]

interacted = s.split('*')

if len(interacted) == 1:
weight["ft_type"].append("feature")
weight["ns1"].append(None)
weight["ns2"].append(None)
weight["ns3"].append(None)
elif len(interacted) == 2:
weight["ft_type"].append("quadratic")
weight["ns1"].append(get_ns(interacted[0]))
weight["ns2"].append(get_ns(interacted[1]))
weight["ns3"].append(None)
elif len(interacted) == 3:
weight["ft_type"].append("cubic")
weight["ns1"].append(get_ns(interacted[0]))
weight["ns2"].append(get_ns(interacted[1]))
weight["ns3"].append(get_ns(interacted[2]))

@property
def weights(self) -> pd.DataFrame:
result = {'name': [], 'weight': []}
result = {'name': [], 'weight': [], 'ft_type': [], 'ns1': [], 'ns2': [], 'ns3': []}
for line in reversed(self.raw):
if ':' not in line:
break

parts = line.split(' ')[0].split(':')
result['name'].append(parts[0])
result['weight'].append(_safe_to_float(parts[-1], None))

Model9.parse_invert_hash(parts[0], result)
df = pd.DataFrame(result)
df.set_index('name', inplace=True)
df.sort_index(inplace=True)
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