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A few typos fixed. (#1002)
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sagemaker-debugger/xgboost_builtin_rules/xgboost-regression-debugger-rules.ipynb

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"[SHAP](https://github.com/slundberg/shap) (SHapley Additive exPlanations) is\n",
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"another approach to explain the output of machine learning models.\n",
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"SHAP values represent a feature's contribution to a change in the model output.\n",
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"You instructed Estimator to log the average SHAP values in this example so the SHAP values (as calculaged by [xgboost.predict(pred_contribs=True)](https://xgboost.readthedocs.io/en/latest/python/python_api.html#xgboost.Booster.predict)) will be available the `average_shap` collection."
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"You instructed Estimator to log the average SHAP values in this example so the SHAP values (as calculated by [xgboost.predict(pred_contribs=True)](https://xgboost.readthedocs.io/en/latest/python/python_api.html#xgboost.Booster.predict)) will be available the `average_shap` collection."
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sagemaker-debugger/xgboost_realtime_analysis/xgboost-realtime-analysis.ipynb

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"\n",
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"Check the status of the training job by running the following code.\n",
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"It checks on the status of an Amazon SageMaker training job every 15 seconds.\n",
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"Once job has started its traning cycle control is released to next cells in the notebook.\n",
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"Once job has started its training cycle control is released to next cells in the notebook.\n",
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"That means training job started to tune the model and, in parallel, emit debugging tensors."
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