Fix bugs
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@@ -24,38 +24,38 @@ from qlib.model.base import Model
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from qlib.data.dataset import DatasetH
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from qlib.data.dataset.handler import DataHandlerLP
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qlib.init(provider_uri='~/.qlib/qlib_data/cn_data', region=qconfig.REG_CN)
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qlib.init(provider_uri="~/.qlib/qlib_data/cn_data", region=qconfig.REG_CN)
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dataset_config = {
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"class": "DatasetH",
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"module_path": "qlib.data.dataset",
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"class": "DatasetH",
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"module_path": "qlib.data.dataset",
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"kwargs": {
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"handler": {
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"class": "Alpha360",
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"module_path": "qlib.contrib.data.handler",
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"kwargs": {
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"handler": {
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"class": "Alpha360",
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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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"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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"instruments": "csi100",
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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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},
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"start_time": "2008-01-01",
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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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"instruments": "csi100",
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},
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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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},
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},
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}
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pprint.pprint(dataset_config)
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dataset = init_instance_by_config(dataset_config)
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df_train, df_valid, df_test = dataset.prepare(
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["train", "valid", "test"],
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col_set=["feature", "label"],
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data_key=DataHandlerLP.DK_L,
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)
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["train", "valid", "test"],
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col_set=["feature", "label"],
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data_key=DataHandlerLP.DK_L,
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)
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model = get_transformer(None)
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print(model)
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@@ -72,4 +72,5 @@ label = labels[batch][mask]
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loss = torch.nn.functional.mse_loss(pred, label)
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from sklearn.metrics import mean_squared_error
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mse_loss = mean_squared_error(pred.numpy(), label.numpy())
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