Second try on fixing links in cheatsheet (#57)

* Fixes broken links to resources.

* Second try at getting this links to resolve.
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vmagelo 2021-04-19 23:33:26 +02:00 коммит произвёл GitHub
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@ -21,7 +21,7 @@ ws = Workspace.from_config()
The workspace object is the fundamental handle on your Azure ML assets and is used
throughout (often simply referred to by `ws`).
For more details: [Workspaces](./workspace)
For more details: [Workspaces](./workspace.md)
### Connect to compute target
@ -41,7 +41,7 @@ config = ScriptRunConfig(
)
```
For more details: [Compute Target](./compute-targets)
For more details: [Compute Target](./compute-targets.md)
### Prepare Python environment
@ -69,7 +69,7 @@ config = ScriptRunConfig(
)
```
For more details: [Environment](./environment)
For more details: [Environment](./environment.md)
## Submit code
@ -107,11 +107,11 @@ config = ScriptRunConfig(
)
```
For more details on arguments: [Command line arguments](./script-run-config#command-line-arguments)
For more details on arguments: [Command line arguments](./script-run-config.md#command-line-arguments)
:::info
- `compute_target`: If not provided the script will run on your local machine.
- `environment`: If not provided, uses a default Python environment managed by Azure ML. See [Environment](./environment) for more details.
- `environment`: If not provided, uses a default Python environment managed by Azure ML. See [Environment](./environment.md) for more details.
:::
#### Commands
@ -130,12 +130,12 @@ config = ScriptRunConfig(
)
```
For more details: [Commands](./script-run-config#commands)
For more details: [Commands](./script-run-config.md#commands)
### Experiment
To submit this code, create an `Experiment`: a light-weight container that helps to
organize our submissions and keep track of code (See [Run History](./run-history)).
organize our submissions and keep track of code (See [Run History](./run-history.md)).
```python
exp = Experiment(ws, '<experiment-name>')
@ -145,7 +145,7 @@ print(run.get_portal_url())
This link will take you to the Azure ML Studio where you can monitor your run.
For more details: [ScriptRunConfig](./script-run-config)
For more details: [ScriptRunConfig](./script-run-config.md)
### Sample usage
@ -212,7 +212,7 @@ run = Experiment(ws, 'PyTorch model training').submit(config)
want to train on.
:::
For more details: [Distributed GPU Training](./distributed-training)
For more details: [Distributed GPU Training](./distributed-training.md)
## Connect to data
@ -222,7 +222,7 @@ To work with data in your training scripts using your workspace `ws` and its def
datastore = ws.get_default_datastore()
dataset = Dataset.File.from_files(path=(datastore, '<path/on/datastore>'))
```
For more details see: [Data](./data)
For more details see: [Data](./data.md)
Pass this to your training script as a command line argument.