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feat(Data): create DataSource, DataCollection, added hourly crypto data (#96)
* feat(Data): create DataSource, DataCollection, added hourly crypto data * fix(Data): hourly data format, loading & config
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@@ -14,7 +14,7 @@
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"import numpy as np\n",
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"from feature_extractors.feature_extractor_presets import presets\n",
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"\n",
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"X, y, target_returns = load_data(path = './data', target_asset = 'BTC_USD', load_other_assets = True, log_returns=False, forecasting_horizon= 1, own_features= presets[\"level_2\"],\n",
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"X, y, target_returns = load_data(path = './data', target_asset = 'BTC_USD', load_non_target_asset = True, log_returns=False, forecasting_horizon= 1, own_features= presets[\"level_2\"],\n",
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" other_features= presets[\"level_2\"],\n",
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" index_column= 'int',\n",
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" method= 'classification',\n",
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