|
15 | 15 | - name: How it works
|
16 | 16 | displayName: concepts, definitions, glossary
|
17 | 17 | href: concept-azure-machine-learning-v2.md
|
18 |
| -- name: Migration from v1 to v2 |
| 18 | +- name: Upgrade to v2 |
19 | 19 | items:
|
20 |
| - - name: Migration overview |
| 20 | + - name: Upgrade overview |
21 | 21 | displayName: migration
|
22 | 22 | href: how-to-migrate-from-v1.md
|
23 |
| - - name: Migrate resources and assets |
| 23 | + - name: Upgrade resources and assets |
24 | 24 | items:
|
25 | 25 | - name: "Workspace"
|
26 | 26 | displayName: migration, v1, v2
|
|
37 | 37 | - name: "Model assets"
|
38 | 38 | displayName: migration, v1, v2
|
39 | 39 | href: migrate-to-v2-assets-model.md
|
40 |
| - - name: Migrate training |
| 40 | + - name: Upgrade training |
41 | 41 | items:
|
42 | 42 | - name: "Run a script"
|
43 | 43 | displayName: migration, v1, v2
|
|
57 | 57 | - name: "Pipelines"
|
58 | 58 | displayName: migration, v1, v2
|
59 | 59 | href: migrate-to-v2-execution-pipeline.md
|
60 |
| - - name: "Migrate endpoints" |
| 60 | + - name: "Upgrade endpoints" |
61 | 61 | displayName: migration, v1, v2
|
62 | 62 | href: migrate-to-v2-deploy-endpoints.md
|
63 |
| - |
64 | 63 | - name: Quickstart
|
65 | 64 | expanded: true
|
66 | 65 | items:
|
|
460 | 459 | href: how-to-log-mlflow-models.md
|
461 | 460 | - name: Query & compare experiments and runs
|
462 | 461 | href: how-to-track-experiments-mlflow.md
|
463 |
| - - name: Visualize runs with TensorBoard |
464 |
| - displayName: log, monitor, metrics |
465 |
| - href: how-to-monitor-tensorboard.md |
466 | 462 | - name: Migrate from SDK v1 logging to MLflow
|
467 | 463 | href: reference-migrate-sdk-v1-mlflow-tracking.md
|
468 | 464 | - name: Train and track with MLflow
|
|
0 commit comments