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optimize_CI (#1314)
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@@ -19,10 +19,10 @@ class TestDataset(TestAutoData):
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"class": "Alpha158",
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"module_path": "qlib.contrib.data.handler",
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"kwargs": {
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"start_time": "2008-01-01",
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"start_time": "2017-01-01",
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"end_time": "2020-08-01",
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"fit_start_time": "2008-01-01",
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"fit_end_time": "2014-12-31",
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"fit_start_time": "2017-01-01",
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"fit_end_time": "2017-12-31",
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"instruments": "csi300",
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"infer_processors": [
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{"class": "FilterCol", "kwargs": {"col_list": ["RESI5", "WVMA5", "RSQR5"]}},
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@@ -36,9 +36,9 @@ class TestDataset(TestAutoData):
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},
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},
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segments={
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"train": ("2008-01-01", "2014-12-31"),
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"valid": ("2015-01-01", "2016-12-31"),
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"test": ("2017-01-01", "2020-08-01"),
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"train": ("2017-01-01", "2017-12-31"),
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"valid": ("2018-01-01", "2018-12-31"),
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"test": ("2019-01-01", "2020-08-01"),
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},
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)
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tsds_train = tsdh.prepare("train", data_key=DataHandlerLP.DK_L) # Test the correctness
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@@ -63,13 +63,13 @@ class TestDataset(TestAutoData):
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tsds[len(tsds) - 1]
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# 2) sample by <datetime,instrument> index
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data_from_ds = tsds["2016-12-31", "SZ300315"]
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data_from_ds = tsds["2017-12-31", "SZ300315"]
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# Check the data
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# Get data from DataFrame Directly
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data_from_df = (
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tsdh.handler.fetch(data_key=DataHandlerLP.DK_L)
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.loc(axis=0)["2015-01-01":"2016-12-31", "SZ300315"]
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.loc(axis=0)["2017-01-01":"2017-12-31", "SZ300315"]
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.iloc[-30:]
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.values
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)
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