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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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