Update training loggers with format change (#91)

spiceaidocs/content/en/concepts/dataspaces/_index.md

@@ -16,12 +16,12 @@ Each dataspace encapsulates definitions for its core data primitives, such as [m
 
 While measurements and categories are scoped to the dataspace namespace, tags are aggregated with tags from other dataspaces to the pod scope.
 
-Dataspaces may load data through a [data connector](https://docs.spiceai.org/concepts/#data-connector) and [processor](https://docs.spiceai.org/concepts/#data-processor) or through the POST [/pods/{pod}/observations]({{<ref api>}}) API. The API accepts JSON or CSV data and uses the appropriate [JSON](https://github.com/spiceai/data-components-contrib/blob/trunk/dataprocessors/json/README.md) or [CSV](https://github.com/spiceai/data-components-contrib/tree/trunk/dataprocessors/csv) data processor. 
+Dataspaces may load data through a [data connector](https://docs.spiceai.org/concepts/#data-connector) and [processor](https://docs.spiceai.org/concepts/#data-processor) or through the POST [/pods/{pod}/observations]({{<ref api>}}) API. The API accepts JSON or CSV data and uses the appropriate [JSON](https://github.com/spiceai/data-components-contrib/blob/trunk/dataprocessors/json/README.md) or [CSV](https://github.com/spiceai/data-components-contrib/tree/trunk/dataprocessors/csv) data processor.
 
 Data connectors and processors are community-maintained components for streaming and processing time-series data. More information can be found in the [data-components-contrib](https://github.com/spiceai/data-components-contrib) repository.
 
 ### Reference
 
 - List of [supported data connectors](https://github.com/spiceai/data-components-contrib/tree/trunk/dataconnectors/README.md)
 - List of [supported data processors](https://github.com/spiceai/data-components-contrib/blob/trunk/dataprocessors/README.md)
-- [API Reference]({{<ref "api">}})
+- [API Reference]({{<ref "api">}})

spiceaidocs/content/en/reference/pod/_index.md

@@ -114,23 +114,6 @@ params:
   episodes: 10
 ```
 
-### `params.training_loggers`
-
-A comma-seperated list of training loggers to enable for each pod training run.
-
-Supported loggers and their values are:
-
-| Logger                                                 | Value         |
-| ------------------------------------------------------ | ------------- |
-| [TensorBoard](https://www.tensorflow.org/tensorboard/) | `tensorboard` |
-
-**_Example_**
-
-```yaml
-params:
-  training_loggers: tensorboard
-```
-
 ## `time`
 
 Pod time, time-series and time-data related configuration is defined in the `time` section.
@@ -771,6 +754,24 @@ training:
   goal: score >= 100
 ```
 
+### `training.loggers`
+
+A list of training loggers to enable for each pod training run.
+
+Supported loggers and their values are:
+
+| Logger                                                 | Value         |
+| ------------------------------------------------------ | ------------- |
+| [TensorBoard](https://www.tensorflow.org/tensorboard/) | `tensorboard` |
+
+**_Example_**
+
+```yaml
+training:
+  loggers:
+    - tensorboard
+```
+
 ### `training.reward_init`
 
 A python code block that will be run before an action specific reward code block runs. Use this to define common variables that will be useful to reference in the specific reward code blocks.

spiceaidocs/content/en/training/monitoring.md

@@ -55,7 +55,7 @@ Training run progress can also be visualized in the dashboard [http://localhost:
 
 Spice.ai supports logging to monitoring tools like [TensorBoard](https://www.tensorflow.org/tensorboard/).
 
-This logging can either be enabled at the pod level using the `training_loggers` Spicepod parameter or as a parameter to the `spice train` command. Once enabled, the runtime will log training metrics for that tool.
+This logging can either be enabled at the pod level using the `training.loggers` Spicepod section or as a parameter to the `spice train` command. Once enabled, the runtime will log training metrics for that tool.
 
 A button to open the tool will appear on the training run in the dashboard. Clicking the button will open the relevant monitoring tool.
 
@@ -65,5 +65,5 @@ A button to open the tool will appear on the training run in the dashboard. Clic
 
 See documentation for:
 
-- The Spicepod [training_loggers param]({{<ref "reference/pod#paramstraining_loggers">}}).
+- The Spicepod [training.loggers section]({{<ref "reference/pod#trainingloggers">}}).
 - The [spice train]({{<ref "cli/reference/#train">}}) CLI command.