Skip to content

Commit

Permalink
add tutorial for ensemble-agent
Browse files Browse the repository at this point in the history
  • Loading branch information
@thiagodks
thiagodks committed May 8, 2023
1 parent b725868 commit e50cee3
Show file tree
Hide file tree
Showing 6 changed files with 375 additions and 41 deletions.
37 changes: 37 additions & 0 deletions tutorials/datasets/MovieLens 100k/dic_info.json
View file
Original file line number Diff line number Diff line change
@@ -0,0 +1,37 @@
{
"name": "ML-100K",
"sparsity": 0.937056884900853,
"user_information": {
"std_consumption": 100.93613152085523,
"min_consumption": 1.0,
"median_consumption": 64.5,
"mean_consumption": 105.9332627118644,
"max_consumption": 737.0,
"num_user": 944.0,
">=75%": 148.0,
">=50%": 64.5,
">=25%": 33.0
},
"item_information": {
"std_ratings": 80.37257740532644,
"min_ratings": 1.0,
"median_ratings": 27.0,
"mean_ratings": 59.41830065359477,
"max_ratings": 583.0,
"num_item": 1683.0,
">=75%": 80.0,
">=50%": 27.0,
">=25%": 6.0
},
"ratings_information": {
"std": 1.1257233133724367,
"min": 0.0,
"median": 4.0,
"mean": 3.5298247017529825,
"max": 5.0,
"num_ratings": 100001.0,
">=75%": 4.0,
">=50%": 4.0,
">=25%": 3.0
}
}
Binary file added tutorials/datasets/MovieLens 100k/informations.pdf
View file
Binary file not shown.
90 changes: 90 additions & 0 deletions tutorials/datasets/MovieLens 100k/informations.tex
View file
Original file line number Diff line number Diff line change
@@ -0,0 +1,90 @@

\documentclass{article}

\usepackage{multirow}
\usepackage{color, colortbl}
\usepackage{xcolor, soul}
\usepackage[utf8]{inputenc}
\usepackage[T1]{fontenc}
\usepackage[brazil]{babel}
\usepackage{graphicx}
\usepackage{subcaption}

\definecolor{Gray}{gray}{0.9}
\definecolor{StrongGray}{gray}{0.7}

\title{Dataset Information}
\begin{document}
\maketitle

\begin{table}[h!]
\centering
\begin{tabular}{ |c||c|c|c| } \hline

\rowcolor{StrongGray}
\multicolumn{4}{|c|}{ML-100K Dataset Information - Sparsity: 0.9370} \\ \hline \hline

\rowcolor{Gray}
Information & User Consumption Info & Item Rating Info & Rating Info\\ \hline \hline

STD & 100.9 & 80.3 & 1.1\\ \hline
MIN & 1.0 & 1.0 & 0.0\\ \hline
MEDIAN & 64.5 & 27.0 & 4.0\\ \hline
MEAN & 105.9 & 59.4 & 3.5\\ \hline
MAX & 737.0 & 583.0 & 5.0\\ \hline
NUM & 944.0 & 1683.0 & 100001.0\\ \hline
$\geq75$ & 148.0 & 80.0 & 4.0\\ \hline
$\geq50$ & 64.5 & 27.0 & 4.0\\ \hline
$\geq25$ & 33.0 & 6.0 & 3.0\\ \hline

\end{tabular}
\caption{Information about users, items and ratings.}
\label{table:1}
\end{table}


\begin{figure}[!ht]
\centering
\begin{minipage}{0.5\textwidth}
\centering
\includegraphics[width=0.9\textwidth]{./Analysis/ML-100K/Graphics/corr_pop_ent.png}
\caption{corr pop ent}
\label{fig:figura1minipg}
\end{minipage}\hfill
\begin{minipage}{0.5\textwidth}
\centering
\includegraphics[width=0.9\textwidth]{./Analysis/ML-100K/Graphics/corr_meanratings_pop.png}
\caption{corr meanratings pop}
\label{fig:figura1minipg}
\end{minipage}\hfill
\begin{minipage}{0.5\textwidth}
\centering
\includegraphics[width=0.9\textwidth]{./Analysis/ML-100K/Graphics/users_consuption.png}
\caption{users consuption}
\label{fig:figura1minipg}
\end{minipage}\hfill
\begin{minipage}{0.5\textwidth}
\centering
\includegraphics[width=0.9\textwidth]{./Analysis/ML-100K/Graphics/corr_itemsfeatures_pop.png}
\caption{corr itemsfeatures pop}
\label{fig:figura1minipg}
\end{minipage}\hfill
\begin{minipage}{0.5\textwidth}
\centering
\includegraphics[width=0.9\textwidth]{./Analysis/ML-100K/Graphics/items_rated.png}
\caption{items rated}
\label{fig:figura1minipg}
\end{minipage}\hfill
\begin{minipage}{0.5\textwidth}
\centering
\includegraphics[width=0.9\textwidth]{./Analysis/ML-100K/Graphics/corr_meanratings_ent.png}
\caption{corr meanratings ent}
\label{fig:figura1minipg}
\end{minipage}\hfill

% \caption{Graphics}
\label{fig:figurasminipg}
\end{figure}

\end{document}

101 changes: 101 additions & 0 deletions tutorials/datasets/MovieLens 100k/top-100_items_entropy.txt
View file
Original file line number Diff line number Diff line change
@@ -0,0 +1,101 @@
item_id score
815 1.597234203958847
294 1.592192307331314
61 1.587882168209801
1405 1.5792331346113389
497 1.576695992330607
527 1.5748427300244527
374 1.5724887547715412
928 1.571061161892474
798 1.5678962872108388
1229 1.565845452554416
744 1.5648538428609964
265 1.5630695429447656
360 1.5610048541234605
223 1.5609206710923602
897 1.5607104090414063
1293 1.5607104090414063
691 1.5590931042048033
171 1.5571130980576458
419 1.5571130980576458
848 1.5571130980576458
1233 1.5571130980576455
870 1.556910568114504
666 1.5558794724488303
466 1.5556646696181333
1343 1.5544328269016834
1058 1.553019134703412
1225 1.5530014019808
233 1.5525140696556048
1146 1.5508457063832817
940 1.5498260458782016
906 1.5494170420810358
964 1.5465986860485126
976 1.5465986860485126
1117 1.5465986860485126
1317 1.5465986860485126
1226 1.5465986860485124
477 1.5456055131100814
451 1.5454229031935938
1421 1.5437891850588954
995 1.5437672979880863
930 1.5419584371829487
331 1.54065205313336
8 1.5389266301898288
123 1.5354206959078445
563 1.5351908491313153
598 1.5351908491313153
468 1.5347676808102217
517 1.533893392285119
1115 1.533263066909204
341 1.5305397243418035
316 1.530467652890292
1223 1.53022074156986
602 1.5300089139055837
1192 1.5292482930376914
585 1.5288460918887299
796 1.528652087172375
883 1.5270355158941487
1243 1.5260394155804642
1116 1.5257607683920602
885 1.5256715197633526
410 1.5247073930301436
1142 1.5247073930301436
1301 1.5247073930301436
890 1.5242564032679284
391 1.5235967393304184
413 1.5233999822609356
572 1.522961660632849
614 1.5227235330986488
955 1.5227136689800211
269 1.5226965458840906
886 1.5214620898340783
352 1.5203298028074628
925 1.5196918474879466
252 1.5184174505936268
1059 1.518267124767796
262 1.5179142731543076
700 1.5178210748928995
1083 1.5176745294625686
402 1.5171063970610277
972 1.5171063970610277
1246 1.5171063970610275
1315 1.515707952085713
1453 1.5157079520857129
954 1.5154125178887332
594 1.514340872488177
59 1.5138149024461531
680 1.5134058386196787
742 1.5123786573528997
520 1.5104288998570303
181 1.5100527352298625
814 1.509971678751745
1042 1.5095825913076644
797 1.509544687783763
348 1.5089424503045463
849 1.5082642804351818
175 1.5081132446402752
381 1.5080715571604042
1070 1.5077294282174092
526 1.507519552871314
1031 1.5068409398295437
101 changes: 101 additions & 0 deletions tutorials/datasets/MovieLens 100k/top-100_items_popularity.txt
View file
Original file line number Diff line number Diff line change
@@ -0,0 +1,101 @@
item_id score
357 583
157 509
49 508
52 507
95 485
289 481
60 478
24 452
652 431
403 429
101 420
189 413
216 394
209 392
31 390
77 384
140 378
161 367
12 365
247 350
719 350
136 344
156 336
347 331
103 326
321 324
191 321
175 316
367 316
491 315
10 303
112 301
57 300
502 299
200 298
695 298
1 297
408 297
98 295
102 295
23 293
68 293
86 293
256 291
166 290
311 284
239 283
29 280
179 280
254 276
471 276
217 275
83 272
89 268
297 267
364 267
240 264
231 261
118 259
360 259
320 256
329 256
139 255
25 254
53 251
280 251
307 251
423 251
355 250
221 247
100 246
182 244
552 244
22 243
174 243
34 241
117 240
144 240
273 239
361 239
229 236
647 232
99 231
201 230
404 230
6 227
431 227
356 226
141 223
56 222
120 221
492 221
571 221
309 220
456 220
26 219
66 219
274 219
389 219
51 218
Loading

0 comments on commit e50cee3

Please sign in to comment.