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lines changed Original file line number Diff line number Diff line change 158
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" # Pickle predict function\n " ,
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" import cloudpickle\n " ,
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" p = cloudpickle.dumps(predict)\n " ,
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- " with open(\" predict_barebones .pkl\" , \" wb\" ) as f:\n " ,
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+ " with open(\" example_model .pkl\" , \" wb\" ) as f:\n " ,
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" f.write(p)\n " ,
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" \n " ,
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" # Download file if running in Google Colab\n " ,
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" try:\n " ,
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" from google.colab import files\n " ,
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- " files.download('predict_barebones .pkl')\n " ,
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+ " files.download('example_model .pkl')\n " ,
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" except:\n " ,
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" pass"
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]
Original file line number Diff line number Diff line change 4166
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"# Use the cloudpickle library to serialize your function and its dependencies\n",
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"import cloudpickle\n",
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"p = cloudpickle.dumps(predict_neutral)\n",
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- "with open(\"predict_neutral .pkl\", \"wb\") as f:\n",
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+ "with open(\"feature_neutralization .pkl\", \"wb\") as f:\n",
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" f.write(p)"
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]
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},
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"# Download file if running in Google Colab\n",
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"try:\n",
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" from google.colab import files\n",
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- " files.download('predict_neutral .pkl')\n",
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+ " files.download('feature_neutralization .pkl')\n",
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"except:\n",
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" pass"
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]
Original file line number Diff line number Diff line change 3237
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" # Use the cloudpickle library to serialize your function\n " ,
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" import cloudpickle\n " ,
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" p = cloudpickle.dumps(predict)\n " ,
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- " with open(\" predict .pkl\" , \" wb\" ) as f:\n " ,
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+ " with open(\" hello_numerai .pkl\" , \" wb\" ) as f:\n " ,
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" f.write(p)"
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]
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},
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" # Download file if running in Google Colab\n " ,
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" try:\n " ,
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" from google.colab import files\n " ,
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- " files.download('predict .pkl')\n " ,
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+ " files.download('hello_numerai .pkl')\n " ,
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" except:\n " ,
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" pass"
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]
Original file line number Diff line number Diff line change 5879
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"# Use the cloudpickle library to serialize your function and its dependencies\n",
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"import cloudpickle\n",
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"p = cloudpickle.dumps(predict_ensemble)\n",
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- "with open(\"predict_ensemble .pkl\", \"wb\") as f:\n",
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+ "with open(\"target_ensemble .pkl\", \"wb\") as f:\n",
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" f.write(p)"
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]
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},
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"# Download file if running in Google Colab\n",
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"try:\n",
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" from google.colab import files\n",
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- " files.download('predict_ensemble .pkl')\n",
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+ " files.download('target_ensemble .pkl')\n",
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"except:\n",
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" pass"
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]
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