|
3186 | 3186 | "desc" : "Plotly chart creation",
|
3187 | 3187 | "file" : "m_visualize/Plotly",
|
3188 | 3188 | "apps" : {
|
3189 |
| - "color": 5, |
| 3189 | + "color": 6, |
3190 | 3190 | "icon": "apps/apps_visualize.svg"
|
3191 | 3191 | }
|
3192 | 3192 | },
|
|
3200 | 3200 | "desc" : "Word Cloud",
|
3201 | 3201 | "file" : "m_visualize/WordCloud",
|
3202 | 3202 | "apps" : {
|
3203 |
| - "color": 5, |
| 3203 | + "color": 6, |
3204 | 3204 | "icon": "apps/apps_wordcloud.svg"
|
3205 | 3205 | }
|
3206 | 3206 | }
|
|
3226 | 3226 | "desc" : "Data sets for machine learning",
|
3227 | 3227 | "file" : "m_ml/DataSets",
|
3228 | 3228 | "apps" : {
|
3229 |
| - "color": 6, |
| 3229 | + "color": 11, |
3230 | 3230 | "icon": "apps/apps_dataset.svg"
|
3231 | 3231 | }
|
3232 | 3232 | },
|
|
3240 | 3240 | "desc" : "Data split for machine learning",
|
3241 | 3241 | "file" : "m_ml/dataSplit",
|
3242 | 3242 | "apps" : {
|
3243 |
| - "color": 6, |
| 3243 | + "color": 11, |
3244 | 3244 | "icon": "apps/apps_datasplit.svg"
|
3245 | 3245 | }
|
3246 | 3246 | },
|
|
3254 | 3254 | "desc" : "Data preparation for machine learning",
|
3255 | 3255 | "file" : "m_ml/DataPrep",
|
3256 | 3256 | "apps" : {
|
3257 |
| - "color": 6, |
| 3257 | + "color": 11, |
3258 | 3258 | "icon": "apps/apps_dataprep.svg"
|
3259 | 3259 | }
|
3260 | 3260 | },
|
|
3268 | 3268 | "desc" : "AutoML model for machine learning",
|
3269 | 3269 | "file" : "m_ml/AutoML",
|
3270 | 3270 | "apps" : {
|
3271 |
| - "color": 6, |
| 3271 | + "color": 11, |
3272 | 3272 | "icon": "apps/apps_automl.svg"
|
3273 | 3273 | }
|
3274 | 3274 | },
|
|
3282 | 3282 | "desc" : "Regression model for machine learning",
|
3283 | 3283 | "file" : "m_ml/Regression",
|
3284 | 3284 | "apps" : {
|
3285 |
| - "color": 7, |
| 3285 | + "color": 12, |
3286 | 3286 | "icon": "apps/apps_regression.svg"
|
3287 | 3287 | }
|
3288 | 3288 | },
|
|
3296 | 3296 | "desc" : "Classification model for machine learning",
|
3297 | 3297 | "file" : "m_ml/Classification",
|
3298 | 3298 | "apps" : {
|
3299 |
| - "color": 7, |
| 3299 | + "color": 12, |
3300 | 3300 | "icon": "apps/apps_classification.svg"
|
3301 | 3301 | }
|
3302 | 3302 | },
|
|
3310 | 3310 | "desc" : "Clustering model for machine learning",
|
3311 | 3311 | "file" : "m_ml/Clustering",
|
3312 | 3312 | "apps" : {
|
3313 |
| - "color": 7, |
| 3313 | + "color": 12, |
3314 | 3314 | "icon": "apps/apps_clustering.svg"
|
3315 | 3315 | }
|
3316 | 3316 | },
|
|
3324 | 3324 | "desc" : "Dimension reduction model for machine learning",
|
3325 | 3325 | "file" : "m_ml/DimensionReduction",
|
3326 | 3326 | "apps" : {
|
3327 |
| - "color": 7, |
| 3327 | + "color": 12, |
3328 | 3328 | "icon": "apps/apps_dimension.svg"
|
3329 | 3329 | }
|
3330 | 3330 | },
|
|
3338 | 3338 | "desc" : "Model save/load for machine learning",
|
3339 | 3339 | "file" : "m_ml/SaveLoad",
|
3340 | 3340 | "apps" : {
|
3341 |
| - "color": 8, |
| 3341 | + "color": 13, |
3342 | 3342 | "icon": "apps/apps_file.svg"
|
3343 | 3343 | }
|
3344 | 3344 | },
|
|
3352 | 3352 | "desc" : "Model fit/predict for machine learning",
|
3353 | 3353 | "file" : "m_ml/FitPredict",
|
3354 | 3354 | "apps" : {
|
3355 |
| - "color": 8, |
| 3355 | + "color": 13, |
3356 | 3356 | "icon": "apps/apps_fit.svg"
|
3357 | 3357 | }
|
3358 | 3358 | },
|
|
3366 | 3366 | "desc" : "Model information for machine learning",
|
3367 | 3367 | "file" : "m_ml/ModelInfo",
|
3368 | 3368 | "apps" : {
|
3369 |
| - "color": 8, |
| 3369 | + "color": 13, |
3370 | 3370 | "icon": "apps/apps_predict.svg"
|
3371 | 3371 | }
|
3372 | 3372 | },
|
|
3380 | 3380 | "desc" : "Performance evaluation for machine learning",
|
3381 | 3381 | "file" : "m_ml/evaluation",
|
3382 | 3382 | "apps" : {
|
3383 |
| - "color": 8, |
| 3383 | + "color": 13, |
3384 | 3384 | "icon": "apps/apps_evaluate.svg"
|
3385 | 3385 | }
|
3386 | 3386 | }
|
|
0 commit comments