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Merge branch 'main' of https://github.com/you-n-g/qlib into main
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@@ -293,22 +293,6 @@ class GRU(Model):
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preds = self.gru_model(x_test).detach().numpy()
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return pd.Series(preds, index=index)
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def save(self, filename, **kwargs):
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with save_multiple_parts_file(filename) as model_dir:
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model_path = os.path.join(model_dir, os.path.split(model_dir)[-1])
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# Save model
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torch.save(self.gru_model.state_dict(), model_path)
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def load(self, buffer, **kwargs):
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with unpack_archive_with_buffer(buffer) as model_dir:
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# Get model name
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_model_name = os.path.splitext(list(filter(lambda x: x.startswith("model.bin"), os.listdir(model_dir)))[0])[
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0
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]
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_model_path = os.path.join(model_dir, _model_name)
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# Load model
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self.gru_model.load_state_dict(torch.load(_model_path))
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self._fitted = True
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class AverageMeter(object):
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17
qlib/data/dataset/processor.py
Normal file → Executable file
17
qlib/data/dataset/processor.py
Normal file → Executable file
@@ -112,16 +112,13 @@ class Fillna(Processor):
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"""Process infinity """
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def __call__(self, df):
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def fill_na(data):
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def process_na(df):
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for col in df.columns:
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# FIXME: Such behavior is very weird
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df[col] = df[col].fillna(0)
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return df
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def fill_na(df):
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for col in df.columns:
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# FIXME: Such behavior is very weird
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df[col] = df[col].fillna(0)
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data = datetime_groupby_apply(data, process_na)
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data.sort_index(inplace=True)
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return data
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df.sort_index(inplace=True)
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return df
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return fill_na(df)
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@@ -163,7 +160,7 @@ class ZscoreNorm(Processor):
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df = fetch_df_by_index(df, slice(self.fit_start_time, self.fit_end_time), level="datetime")
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cols = get_group_columns(df, self.fields_group)
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self.mean_train = np.nanmean(df[cols].values, axis=0)
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self.std_train = np.nanstd(_df[cols].values, axis=0)
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self.std_train = np.nanstd(df[cols].values, axis=0)
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self.ignore = self.std_train == 0
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self.cols = cols
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