str
The trained model status. Possible values are:
- **bad-data**: The training data quality is bad.
- **no-improvement**: Tuning didn't improve performance.
Won't deploy.
- **in-progress**: Model training job creation is in
progress.
- **training**: Model is actively training.
- **evaluating**: The model is evaluating trained metrics.
- **indexing**: The model trained metrics are indexing.
- **ready**: The model is ready for serving.
metrics
MutableMapping[str, float]
The metrics of the trained model.
model_name
str
Fully qualified name of the
CustomTuningModel.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-07 UTC."],[],[],null,["# Class TrainCustomModelResponse (0.13.11)\n\nVersion latestkeyboard_arrow_down\n\n- [0.13.11 (latest)](/python/docs/reference/discoveryengine/latest/google.cloud.discoveryengine_v1alpha.types.TrainCustomModelResponse)\n- [0.13.10](/python/docs/reference/discoveryengine/0.13.10/google.cloud.discoveryengine_v1alpha.types.TrainCustomModelResponse)\n- [0.12.3](/python/docs/reference/discoveryengine/0.12.3/google.cloud.discoveryengine_v1alpha.types.TrainCustomModelResponse)\n- [0.11.14](/python/docs/reference/discoveryengine/0.11.14/google.cloud.discoveryengine_v1alpha.types.TrainCustomModelResponse)\n- [0.10.0](/python/docs/reference/discoveryengine/0.10.0/google.cloud.discoveryengine_v1alpha.types.TrainCustomModelResponse)\n- [0.9.1](/python/docs/reference/discoveryengine/0.9.1/google.cloud.discoveryengine_v1alpha.types.TrainCustomModelResponse)\n- [0.8.1](/python/docs/reference/discoveryengine/0.8.1/google.cloud.discoveryengine_v1alpha.types.TrainCustomModelResponse)\n- [0.7.0](/python/docs/reference/discoveryengine/0.7.0/google.cloud.discoveryengine_v1alpha.types.TrainCustomModelResponse)\n- [0.6.0](/python/docs/reference/discoveryengine/0.6.0/google.cloud.discoveryengine_v1alpha.types.TrainCustomModelResponse)\n- [0.5.0](/python/docs/reference/discoveryengine/0.5.0/google.cloud.discoveryengine_v1alpha.types.TrainCustomModelResponse)\n- [0.4.1](/python/docs/reference/discoveryengine/0.4.1/google.cloud.discoveryengine_v1alpha.types.TrainCustomModelResponse)\n- [0.3.1](/python/docs/reference/discoveryengine/0.3.1/google.cloud.discoveryengine_v1alpha.types.TrainCustomModelResponse)\n- [0.2.1](/python/docs/reference/discoveryengine/0.2.1/google.cloud.discoveryengine_v1alpha.types.TrainCustomModelResponse)\n- [0.1.1](/python/docs/reference/discoveryengine/0.1.1/google.cloud.discoveryengine_v1alpha.types.TrainCustomModelResponse) \n\n TrainCustomModelResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)\n\nResponse of the\nTrainCustomModelRequest.\nThis message is returned by the\ngoogle.longrunning.Operations.response field.\n\nClasses\n-------\n\n### MetricsEntry\n\n MetricsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)\n\nThe abstract base class for a message."]]