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mirror of https://github.com/microsoft/qlib.git synced 2026-07-16 09:11:00 +08:00

update format

This commit is contained in:
Alex Wang
2021-03-22 15:37:54 +08:00
parent 1ad237f89f
commit 3bf6c7f95f
2 changed files with 24 additions and 16 deletions

View File

@@ -7,7 +7,10 @@ import pandas as pd
from typing import Tuple from typing import Tuple
def calc_prec(pred: pd.Series, label: pd.Series, date_col="datetime", quantile: float = 0.2, dropna=False, is_alpha=False) -> Tuple[pd.Series, pd.Series]:
def calc_prec(
pred: pd.Series, label: pd.Series, date_col="datetime", quantile: float = 0.2, dropna=False, is_alpha=False
) -> Tuple[pd.Series, pd.Series]:
"""calculate the precision """calculate the precision
pred : pred :
pred pred
@@ -26,7 +29,6 @@ def calc_prec(pred: pd.Series, label: pd.Series, date_col="datetime", quantile:
if int(1 / quantile) >= len(label.index.get_level_values(1).unique()): if int(1 / quantile) >= len(label.index.get_level_values(1).unique()):
raise ValueError("Need more instruments to calculate precision") raise ValueError("Need more instruments to calculate precision")
df = pd.DataFrame({"pred": pred, "label": label}) df = pd.DataFrame({"pred": pred, "label": label})
if dropna: if dropna:
df.dropna(inplace=True) df.dropna(inplace=True)

View File

@@ -160,6 +160,7 @@ class HFSignalRecord(SignalRecord):
""" """
This is the Signal Analysis Record class that generates the analysis results such as IC and IR. This class inherits the ``RecordTemp`` class. This is the Signal Analysis Record class that generates the analysis results such as IC and IR. This class inherits the ``RecordTemp`` class.
""" """
artifact_path = "hg_sig_analysis" artifact_path = "hg_sig_analysis"
def __init__(self, recorder, **kwargs): def __init__(self, recorder, **kwargs):
@@ -177,7 +178,7 @@ class HFSignalRecord(SignalRecord):
"Rank IC": ric.mean(), "Rank IC": ric.mean(),
"Rank ICIR": ric.mean() / ric.std(), "Rank ICIR": ric.mean() / ric.std(),
"Long precision": long_pre.mean(), "Long precision": long_pre.mean(),
"Short precision": short_pre.mean() "Short precision": short_pre.mean(),
} }
objects = {"ic.pkl": ic, "ric.pkl": ric} objects = {"ic.pkl": ic, "ric.pkl": ric}
objects.update({"long_pre.pkl": long_pre, "short_pre.pkl": short_pre}) objects.update({"long_pre.pkl": long_pre, "short_pre.pkl": short_pre})
@@ -199,7 +200,12 @@ class HFSignalRecord(SignalRecord):
pprint(metrics) pprint(metrics)
def list(self): def list(self):
paths = [self.get_path("ic.pkl"), self.get_path("ric.pkl"), self.get_path("long_pre.pkl"), self.get_path("short_pre.pkl")] paths = [
self.get_path("ic.pkl"),
self.get_path("ric.pkl"),
self.get_path("long_pre.pkl"),
self.get_path("short_pre.pkl"),
]
paths.extend([self.get_path("long_short_r.pkl"), self.get_path("long_avg_r.pkl")]) paths.extend([self.get_path("long_short_r.pkl"), self.get_path("long_avg_r.pkl")])
return paths return paths