|
3111 | 3111 | "desc" : "Data sets for machine learning", |
3112 | 3112 | "file" : "m_ml/DataSets", |
3113 | 3113 | "apps" : { |
3114 | | - "color": 1, |
3115 | | - "icon": "apps/apps_white.svg" |
| 3114 | + "color": 5, |
| 3115 | + "icon": "apps/apps_dataset.svg" |
3116 | 3116 | } |
3117 | 3117 | }, |
3118 | 3118 | { |
|
3125 | 3125 | "desc" : "Data preparation for machine learning", |
3126 | 3126 | "file" : "m_ml/DataPrep", |
3127 | 3127 | "apps" : { |
3128 | | - "color": 1, |
3129 | | - "icon": "apps/apps_white.svg" |
| 3128 | + "color": 5, |
| 3129 | + "icon": "apps/apps_dataprep.svg" |
3130 | 3130 | } |
3131 | 3131 | }, |
3132 | 3132 | { |
|
3139 | 3139 | "desc" : "Data split for machine learning", |
3140 | 3140 | "file" : "m_ml/dataSplit", |
3141 | 3141 | "apps" : { |
3142 | | - "color": 1, |
| 3142 | + "color": 5, |
3143 | 3143 | "icon": "apps/apps_datasplit.svg" |
3144 | 3144 | } |
3145 | 3145 | }, |
3146 | 3146 | { |
3147 | 3147 | "id" : "ml_regression", |
3148 | 3148 | "type" : "function", |
3149 | 3149 | "level": 1, |
3150 | | - "name" : "Regression", |
| 3150 | + "name" : "Regressor", |
3151 | 3151 | "tag" : "REGRESSION,MODEL,MACHINE LEARNING,ML", |
3152 | 3152 | "path" : "visualpython - machine_learning - regression", |
3153 | 3153 | "desc" : "Regression model for machine learning", |
3154 | 3154 | "file" : "m_ml/Regression", |
3155 | 3155 | "apps" : { |
3156 | | - "color": 1, |
3157 | | - "icon": "apps/apps_model.svg" |
| 3156 | + "color": 5, |
| 3157 | + "icon": "apps/apps_regression.svg" |
3158 | 3158 | } |
3159 | 3159 | }, |
3160 | 3160 | { |
3161 | 3161 | "id" : "ml_classification", |
3162 | 3162 | "type" : "function", |
3163 | 3163 | "level": 1, |
3164 | | - "name" : "Classification", |
| 3164 | + "name" : "Classifier", |
3165 | 3165 | "tag" : "CLASSIFICATION,MODEL,MACHINE LEARNING,ML", |
3166 | 3166 | "path" : "visualpython - machine_learning - classification", |
3167 | 3167 | "desc" : "Classification model for machine learning", |
3168 | 3168 | "file" : "m_ml/Classification", |
3169 | 3169 | "apps" : { |
3170 | | - "color": 1, |
3171 | | - "icon": "apps/apps_model.svg" |
| 3170 | + "color": 6, |
| 3171 | + "icon": "apps/apps_classification.svg" |
3172 | 3172 | } |
3173 | 3173 | }, |
3174 | 3174 | { |
|
3181 | 3181 | "desc" : "Clustering model for machine learning", |
3182 | 3182 | "file" : "m_ml/Clustering", |
3183 | 3183 | "apps" : { |
3184 | | - "color": 1, |
3185 | | - "icon": "apps/apps_model.svg" |
| 3184 | + "color": 6, |
| 3185 | + "icon": "apps/apps_clustering.svg" |
3186 | 3186 | } |
3187 | 3187 | }, |
3188 | 3188 | { |
3189 | 3189 | "id" : "ml_dimensionReduction", |
3190 | 3190 | "type" : "function", |
3191 | 3191 | "level": 1, |
3192 | | - "name" : "Dimension Reduction", |
| 3192 | + "name" : "Dimension", |
3193 | 3193 | "tag" : "DIMENSION REDUCTION,MODEL,MACHINE LEARNING,ML", |
3194 | 3194 | "path" : "visualpython - machine_learning - dimension_reduction", |
3195 | 3195 | "desc" : "Dimension reduction model for machine learning", |
3196 | 3196 | "file" : "m_ml/DimensionReduction", |
3197 | 3197 | "apps" : { |
3198 | | - "color": 1, |
3199 | | - "icon": "apps/apps_model.svg" |
| 3198 | + "color": 6, |
| 3199 | + "icon": "apps/apps_dimension.svg" |
3200 | 3200 | } |
3201 | 3201 | }, |
3202 | 3202 | { |
|
3209 | 3209 | "desc" : "AutoML model for machine learning", |
3210 | 3210 | "file" : "m_ml/AutoML", |
3211 | 3211 | "apps" : { |
3212 | | - "color": 1, |
3213 | | - "icon": "apps/apps_model.svg" |
| 3212 | + "color": 6, |
| 3213 | + "icon": "apps/apps_automl.svg" |
3214 | 3214 | } |
3215 | 3215 | }, |
3216 | 3216 | { |
|
3223 | 3223 | "desc" : "Performance evaluation for machine learning", |
3224 | 3224 | "file" : "m_ml/evaluation", |
3225 | 3225 | "apps" : { |
3226 | | - "color": 1, |
| 3226 | + "color": 7, |
3227 | 3227 | "icon": "apps/apps_evaluate.svg" |
3228 | 3228 | } |
3229 | 3229 | } |
|
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