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committedJun 22, 2021
update README again...
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‎README.md

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@@ -28,13 +28,10 @@ and can be downloaded to the data directory using the following command executed
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wget https://archive.ics.uci.edu/ml/machine-learning-databases/00519/heart_failure_clinical_records_dataset.csv -P data/
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```
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To train ML models we next need to create a training dataset and a holdout test dataset. To achieve this we can use the
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`create_test_dataset.py` script to split the original dataset into a training dataset ("data/train.json") with 80% of
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the data and a holdout test set with 20% of the data (To train ML models we next need to create a training dataset and a
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holdout test dataset. To achieve this we can use the `create_test_dataset.py` script to split the original dataset into
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a training dataset (data/train.json) with 80% of the data and a holdout test set with 20% of the data (data/test.json).
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An example json file to be used as part of the curl request to the model server api is also generated - this contains
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the first example in the test dataset (data/test_post_request.json).
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To train the ML models we next need to create a training dataset and a holdout test dataset. To achieve this we can use the
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`create_test_dataset.py` script to split the original dataset into a training dataset (data/train.json) with 80% of the
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data and a holdout test set with 20% of the data (data/test.json). An example json file to be used as part of the curl
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request to the model server api is also generated - this contains the first example in the test dataset (data/test_post_request.json).
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```bash
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python -m create_test_dataset

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