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update to 5.2 (#182)
* update to 5.2 * updated cached pickles for 5.2 dataset --------- Co-authored-by: Josh Terrill <josh@numer.ai>
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‎cached-pickles/example_model.pkl‎

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‎cached-pickles/feature_neutralization.pkl‎

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‎cached-pickles/hello_numerai.pkl‎

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‎cached-pickles/target_ensemble.pkl‎

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‎example_model.ipynb‎

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"napi = NumerAPI()\n",
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"# use one of the latest data versions\n",
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"DATA_VERSION = \"v5.1\"\n",
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"DATA_VERSION = \"v5.2\"\n",
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"[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.015210 seconds.\n",
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"[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001259 seconds.\n",
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"You can set `force_row_wise=true` to remove the overhead.\n",
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"And if memory is not enough, you can set `force_col_wise=true`.\n",
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"[LightGBM] [Info] Total Bins 210\n",
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"[LightGBM] [Info] Number of data points in the train set: 688184, number of used features: 42\n",
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"[LightGBM] [Info] Start training from score 0.500008\n"
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"[LightGBM] [Info] Start training from score 0.499946\n"
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‎feature_neutralization.ipynb‎

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‎hello_numerai.ipynb‎

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‎numerai/example_model.ipynb‎

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"DATA_VERSION = \"v5.1\"\n",
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"DATA_VERSION = \"v5.2\"\n",
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"v5.2/train.parquet: 7.67GB [04:40, 27.4MB/s] \n",
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"[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.009704 seconds.\n",
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"[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001209 seconds.\n",
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"You can set `force_row_wise=true` to remove the overhead.\n",
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"And if memory is not enough, you can set `force_col_wise=true`.\n",
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"[LightGBM] [Info] Total Bins 210\n",
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"[LightGBM] [Info] Number of data points in the train set: 688184, number of used features: 42\n",
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"[LightGBM] [Info] Start training from score 0.500008\n"
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"[LightGBM] [Info] Start training from score 0.499946\n"
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‎numerai/feature_neutralization.ipynb‎

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