From 64ee6289bff0445371c2853c3017eeadb5d1ee88 Mon Sep 17 00:00:00 2001 From: Patrick Hall Date: Sat, 14 May 2022 16:11:56 -0400 Subject: [PATCH] more updates for 2022 --- assignments/tex/assignment_1.pdf | Bin 151213 -> 157959 bytes assignments/tex/assignment_1.tex | 4 ++-- tex/lecture_1.pdf | Bin 2308506 -> 2308509 bytes tex/lecture_1.tex | 4 ++-- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/assignments/tex/assignment_1.pdf b/assignments/tex/assignment_1.pdf index 02de210b03110232c8e10b1960dcd54d99d60b59..dd5260fea653d0c6455c2be3f6cb1ff6ccd3cf99 100644 GIT binary patch delta 56139 zcmd42c|4V0*D!9LXF^nt44L8_=N!&450MOIsE~OIndd1kv&{39C_|=%2pI~Q6Pco@ zP^QQbBJ=M$=hU71dw-wje(vY}yzl4t$JzF^_TFo+Y45$(+S}u7@`xdFfJgI!@_Cpr zl7eSoq~je03<8BXnct$2l7finKtwJ&U3G$pT!8SoSy{N-Iynl%_#rYf6jqLwm`;da zo%sym;$q-W+z<+dUceMin8FKFIARL>f56NzHA_rk2t|ND;MV{w+#LhQ)`a0m z1c@Fe2=#XassERggOdT6Ml6lTh=M|uFko*?;fyK%(C>=*w89iP`u`pI=zl{#06$JY zO!V&`pf{jtRVA^DGd%`qb|Tmk>gj0OgdRUTFx 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b/assignments/tex/assignment_1.tex @@ -74,7 +74,7 @@ \section{Load and Explore Data.} \section{Train Interpretable Models} -Train at least two types of interpretable models, ensuring best practices like reproducibility, validation-based early-stopping, and grid search are used. (Scikit-learn does not necessarily make applying such best practices easy.) You are encouraged to try packages like \href{https://docs.h2o.ai/h2o/latest-stable/h2o-docs/downloading.html}{\texttt{h2o}}, \href{https://github.com/interpretml/interpret}{\texttt{interpret}}, and \href{https://xgboost.readthedocs.io/en/latest/install.html}{\texttt{XGBoost}}, but you may use any standard modeling approach, as long as it is interpretable and you will be able to apply explanation, discrimination testing and remediation, and model debugging approaches in coming weeks.\\ +Train at least two types of interpretable models, ensuring best practices like reproducibility, validation-based early-stopping, and grid search are used. (Scikit-learn does not necessarily make applying such best practices easy.) You are encouraged to try packages like \href{https://docs.h2o.ai/h2o/latest-stable/h2o-docs/downloading.html}{\texttt{h2o}}, \href{https://github.com/interpretml/interpret}{\texttt{interpret}}, and \href{https://xgboost.readthedocs.io/en/latest/install.html}{\texttt{XGBoost}}, but you may use any interpretable or self-explainable approach on which you will be able to apply explanation, discrimination testing and remediation, and model debugging approaches in coming weeks. Please reach out with questions about appropriate modeling techniques.\\ \noindent The template contains examples for elastic net logistic regression using \texttt{h2o} (see cells 8--10), monotonic gradient boosting machines (GBM) using \texttt{XGBoost} (see cells 12--14), and explainable boosting machines (EBM) using \texttt{interpret} (see cells 16--18). @@ -87,7 +87,7 @@ \section{Submit Code Results} \item You must create submission files with output probabilities for each row of the test data. The submission file should have one column named \texttt{phat}. Each model should have a separate submission file named using a \texttt{\_.csv} convention, similar to the \href{https://github.com/jphall663/GWU_rml/blob/master/assignments/assignment_1/ph_best_glm.csv}{example submission file}. See cells 11, 15, and 19 for examples of writing submission files. Your group's submission will be ranked using the cross-validated ranking method discussed during Lecture 1. The remaining five points for the assignment will be issued based on this ranking. You will have opportunities to increase your rank each week of the class. \end{itemize} -\noindent \textbf{Your deliverables are due Sunday, May 30\textsuperscript{th}, at 11:59:59 PM ET.}\\ +\noindent \textbf{Your deliverables are due Wednesday, May 25\textsuperscript{th}, at 11:59:59 PM ET.}\\ \noindent Please send an email to \href{mailto:jphall@gwu.edu}{\texttt{jphall@gwu.edu}} by that deadline with the link to your group's GitHub page and with your zipped submission files. diff --git a/tex/lecture_1.pdf b/tex/lecture_1.pdf index 3195cf6c12be045204e93fe7427a27276fd38cf7..426c893d7c347f795947389a86972f233def7ab8 100644 GIT binary patch delta 32128 zcmai-37pN<`}iASN|Lb?F=OBF=ibl#EVi2LDm4jT3Q3D-n=GL;O?*fF$dct#Bqouq z5Rwum70J?Q5%Mi9B1tOA+W&nrcgB65`+EKRe(&r1?c8&p^E}Ua&a}6vwA6shG6_1@ua;K&ii)6jtyVhMF1lMeS`=$w%oV{PI zpWnJcx%X~p*VupFnRw<%%O^TDetq}wTVH+S!LlW995myHb?aZu?bP7<#uakEZ@+4H zxq+9jnv-2FwON%)FQqmrUawC3*V_f-Pp+vq`myod_K*4JF&$TP{ 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