|
3509 | 3509 | } |
3510 | 3510 | }, |
3511 | 3511 | { |
3512 | | - "id" : "ml_saveLoad", |
| 3512 | + "id" : "ml_gridSearch", |
3513 | 3513 | "type" : "function", |
3514 | 3514 | "level": 1, |
3515 | | - "name" : "Save/Load", |
3516 | | - "tag" : "SAVE,LOAD,MACHINE LEARNING,ML", |
3517 | | - "path" : "visualpython - machine_learning - save_load", |
3518 | | - "desc" : "Model save/load for machine learning", |
3519 | | - "file" : "m_ml/SaveLoad", |
| 3515 | + "name" : "GridSearch", |
| 3516 | + "tag" : "GRIDSEARCH,MACHINE LEARNING,ML", |
| 3517 | + "path" : "visualpython - machine_learning - gridsearch", |
| 3518 | + "desc" : "Grid Search", |
| 3519 | + "file" : "m_ml/GridSearch", |
3520 | 3520 | "apps" : { |
3521 | 3521 | "color": 13, |
3522 | 3522 | "icon": "apps/apps_file.svg" |
|
3563 | 3563 | "color": 13, |
3564 | 3564 | "icon": "apps/apps_evaluate.svg" |
3565 | 3565 | } |
| 3566 | + }, |
| 3567 | + { |
| 3568 | + "id" : "ml_pipeline", |
| 3569 | + "type" : "function", |
| 3570 | + "level": 1, |
| 3571 | + "name" : "Pipeline", |
| 3572 | + "tag" : "PIPELINE,MACHINE LEARNING,ML", |
| 3573 | + "path" : "visualpython - machine_learning - pipeline", |
| 3574 | + "desc" : "Pipeline for machine learning", |
| 3575 | + "file" : "m_ml/Pipeline", |
| 3576 | + "apps" : { |
| 3577 | + "color": 14, |
| 3578 | + "icon": "apps/apps_file.svg" |
| 3579 | + } |
| 3580 | + }, |
| 3581 | + { |
| 3582 | + "id" : "ml_saveLoad", |
| 3583 | + "type" : "function", |
| 3584 | + "level": 1, |
| 3585 | + "name" : "Save/Load", |
| 3586 | + "tag" : "SAVE,LOAD,MACHINE LEARNING,ML", |
| 3587 | + "path" : "visualpython - machine_learning - save_load", |
| 3588 | + "desc" : "Model save/load for machine learning", |
| 3589 | + "file" : "m_ml/SaveLoad", |
| 3590 | + "apps" : { |
| 3591 | + "color": 14, |
| 3592 | + "icon": "apps/apps_file.svg" |
| 3593 | + } |
3566 | 3594 | } |
3567 | 3595 | ] |
3568 | 3596 | } |
|
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