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@ -364,7 +364,7 @@ order, number, timing, and reproducibility of frames for training.
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#### Iterate Frames Infinitely
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This example demonstrates creating a Dataview and setting its parameters to iterate infinitely until the script is
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manually terminated.
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manually terminated:
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```python
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# Create a Dataview object for an iterator that returns frames
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@ -375,7 +375,7 @@ myDataView.set_iteration_parameters(order=IterationOrder.random, infinite=True)
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```
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#### Iterate All Frames Matching the Query
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This example demonstrates creating a DataView and setting its parameters to iterate and return all frames matching a query.
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This example demonstrates creating a DataView and setting its parameters to iterate and return all frames matching a query:
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```python
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# Create a Dataview object for an iterator for frames
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@ -504,7 +504,7 @@ certain labels for training.
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This example demonstrates consolidating two disparate Datasets. Two Dataset versions use `car` (lower case "c"), but the
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third uses `Car` (upper case "C").
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The example maps `Car` (upper case "C") to `car` (lower case "c").
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The example maps `Car` (upper case "C") to `car` (lower case "c"):
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```python
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# Create a Dataview object for an iterator that randomly returns frames according to queries
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@ -551,9 +551,9 @@ my_dataview = DataView.get(dataview_id='<dataview_id>')
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Access the Dataview's frames as a python list, dictionary, or through a pythonic iterator.
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The [`DataView.to_list`](../references/hyperdataset/dataview.md#to_list) method returns the Dataview queries result as a python list.
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[`DataView.to_list()`](../references/hyperdataset/dataview.md#to_list) returns the Dataview queries result as a Python list.
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The [`DataView.to_dict`](../references/hyperdataset/dataview.md#to_dict) method returns a list of dictionaries, where each dictionary represents a frame. Use the
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[`DataView.to_dict()`](../references/hyperdataset/dataview.md#to_dict) returns a list of dictionaries, where each dictionary represents a frame. Use the
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`projection` parameter to specify a subset of the frame fields to be included in the result. Input a list of strings,
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where each string represents a frame field or subfield (using dot-separated notation).
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@ -20,10 +20,10 @@ If the ClearML AI application Gateway is not available, the model endpoint might
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After starting a llama.cpp Model Deployment instance, you can view the following information in its dashboard:
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* Status indicator
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* <img src="/docs/latest/icons/ico-llama-active.svg" alt="Active server" className="icon size-md space-sm" /> - App instance is running and is actively in use
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* <img src="/docs/latest/icons/ico-llama-loading.svg" alt="Loading server" className="icon size-md space-sm" /> - App instance is setting up
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* <img src="/docs/latest/icons/ico-llama-idle.svg" alt="Idle server" className="icon size-md space-sm" /> - App instance is idle
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* <img src="/docs/latest/icons/ico-llama-stopped.svg" alt="Stopped server" className="icon size-md space-sm" /> - App instance is stopped
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* <img src="/docs/latest/icons/ico-llama-active.svg" alt="Active server" className="icon size-lg space-sm" /> - App instance is running and is actively in use
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* <img src="/docs/latest/icons/ico-llama-loading.svg" alt="Loading server" className="icon size-lg space-sm" /> - App instance is setting up
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* <img src="/docs/latest/icons/ico-llama-idle.svg" alt="Idle server" className="icon size-lg space-sm" /> - App instance is idle
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* <img src="/docs/latest/icons/ico-llama-stopped.svg" alt="Stopped server" className="icon size-lg space-sm" /> - App instance is stopped
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* Idle time - Time elapsed since last activity
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* App - The publicly accessible URL of the model endpoint. Active model endpoints are also available in the
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[Model Endpoints](../webapp_model_endpoints.md) table, which allows you to view and compare endpoint details and
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