ℹ️ These docs are for the v2.0 version of Galileo. Documentation for v1.0 version can be found here.
curl --request POST \
--url https://api.galileo.ai/v2/integrations/labelstudio/export \
--header 'Content-Type: application/json' \
--header 'Galileo-API-Key: <api-key>' \
--data '
{
"project_name": "<string>",
"project_id": "<string>",
"run_id": "<string>",
"split": "training",
"task": "<string>",
"filter_params": {
"ids": [],
"span_regex": false,
"exclude_ids": [],
"likely_mislabeled_dep_percentile": 0,
"data_embs": false
},
"compare_to": "training",
"map_threshold": 0.5,
"workspace": "<string>",
"inference_name": "<string>",
"labels": [
"<string>"
]
}
'{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>"
}
]
}curl --request POST \
--url https://api.galileo.ai/v2/integrations/labelstudio/export \
--header 'Content-Type: application/json' \
--header 'Galileo-API-Key: <api-key>' \
--data '
{
"project_name": "<string>",
"project_id": "<string>",
"run_id": "<string>",
"split": "training",
"task": "<string>",
"filter_params": {
"ids": [],
"span_regex": false,
"exclude_ids": [],
"likely_mislabeled_dep_percentile": 0,
"data_embs": false
},
"compare_to": "training",
"map_threshold": 0.5,
"workspace": "<string>",
"inference_name": "<string>",
"labels": [
"<string>"
]
}
'{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>"
}
]
}Schema for requesting data to be sent to labelstudio.
Coming soon!
training, validation, test, inference Show child attributes
Representation of a lasso selection (used by embeddings)
x and y correspond to the cursor movement while tracing the lasso. This is natively provided by plotly when creating a lasso selection, for example
0 <= x <= 100training, validation, test, inference Successful Response
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