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### Train:
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- Command: python3 train.py training_data.file training_parameters.file
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- Command: python3 train.py training_data.file parameters.file
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- Example: ```python3 train.py ./data/consumer_complaints.csv.zip ./parameters.json```
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A directory will be created during training, and the best model will be saved in this directory.
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### Predict:
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Provide the model directory (created when running ```train.py```) and test file to ```predict.py```.
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- Command: python3 predict.py ./trained_model_directory/ test_samples.file
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Provide the model directory (created when running ```train.py```) and new data to ```predict.py```.
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- Command: python3 predict.py ./trained_model_directory/ new_data.file
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- Example: ```python3 predict.py ./trained_model_1479757124/ ./data/small_samples.json```
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### Reference:

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