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General info
| Method | PUT /IP address:port/<api_ver>/task |
| Description | The query is used to update the training parameters of a specific task. When sending data, you can use two content types: multipart/form-data or application/json |
Sample request
PUT http://localhost:5000/v1.3/task
Content-Type: application/json
{
"task_id": "6407bfd7144f37e141b786e2acf4faf2822cc48f296f5047e58c9e536874f4ec",
"limit_by_epochs": {
"enabled": true,
"value": 50
},
"batch_size": 32,
"lr": 0.001,
"limit_by_time": {
"enabled": true,
"value": 3600
},
"limit_by_accuracy": {
"enabled": true,
"value": 95
}
}
where:
| Parameter | Description | |
|---|---|---|
| task_id | A unique identifier of the task (uid), which can be obtained using a task list query (see Get the list of tasks) | |
| limit_by_epochs | Limitation by the number of epochs that the neural network must complete during training | |
enabled | Set to true if it is necessary to stop training when the number of epochs is reached | |
value | The desired number of epochs | |
| batch_size | Batch size (number of images transferred to the neural network at one time) | |
| lr | Neural network training speed | |
| limit_by_time | Time limit for training the neural network | |
enabled | Set to true if it is necessary to limit the training time | |
value | Maximum training duration in seconds | |
| limit_by_accuracy | Desired accuracy of the trained neural network | |
enabled | Set to true if it is necessary to stop training when the specified accuracy is reached | |
value | The value of the desired accuracy of neural network training | |
Sample response
{ "message": "Done" }
Response in case of error:
{ "error": "error description" }