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Added XGBoost tutorial #7
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Thanks @savalann for putting this together! Just had a quick look and a couple suggestions:
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book/tutorials/decision_trees/01.script/01.tutorial_post_processing_xgboost_tuning.ipynb
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book/tutorials/decision_trees/01.script/01.tutorial_post_processing_xgboost_tuning.ipynb
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Thanks for this great contribution @savalann ! I've noted a couple of requested changes for typos.
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"!pip install hydroeval xgboost" |
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Have you tested this on CryoCloud yet? If possible, we'd like to make sure any packages needed are pre-installed with the default environment participants will use during the hackweek. Though, I was able to run this pip install command successfully, so perhaps we don't need to pre-install these.
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Hi Steven
Thank you for the corrections. I tried it on the CryoCloud, which worked with the first pip installs.
Do you think you need to pre-install them?
Have you run all the code?
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I can add in py-xgboost
and hydroeval
to CryoCloud in CryoInTheCloud/hub-image#125 if you want? Just checking if you need the GPU version of XGBoost, or just the CPU version.
}, | ||
"source": [ | ||
"#### 4.2. Load Dataset\n", | ||
"- Using the boto3 libarary we get the input dataset from the CIROH S3 bucket." |
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"- Using the boto3 libarary we get the input dataset from the CIROH S3 bucket." | |
"- Using the boto3 library we get the input dataset from the CIROH S3 bucket." |
}, | ||
"source": [ | ||
"#### 4.2. Load Dataset\n", | ||
"- Using the boto3 libarary we get the input dataset from the CIROH S3 bucket." |
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"- Using the boto3 libarary we get the input dataset from the CIROH S3 bucket." | |
"- Using the boto3 library we get the input dataset from the CIROH S3 bucket." |
@savalann I am going to go ahead and merge this pull request, then I will make some of the above requested changes myself :) Thanks again! |
Hi
I pushed the scripts and files for the Tutorial: ML for Hydrological Sciences.
(uwhackweek/schedule-2024#40)
Best,
Savalan