- 2.4.0 (latest)
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Imported models.
Classes
ONNXModel
ONNXModel(
model_path: str, *, session: typing.Optional[bigframes.session.Session] = None
)Imported Open Neural Network Exchange (ONNX) model.
| Parameters | |
|---|---|
| Name | Description |
model_path | strCloud Storage path that holds the model files. |
session | BigQuery SessionBQ session to create the model. |
TensorFlowModel
TensorFlowModel(
model_path: str, *, session: typing.Optional[bigframes.session.Session] = None
)Imported TensorFlow model.
| Parameters | |
|---|---|
| Name | Description |
model_path | strCloud Storage path that holds the model files. |
session | BigQuery SessionBQ session to create the model. |
XGBoostModel
XGBoostModel(
model_path: str,
*,
input: typing.Mapping[str, str] = {},
output: typing.Mapping[str, str] = {},
session: typing.Optional[bigframes.session.Session] = None
)Imported XGBoost model.
| Parameters | |
|---|---|
| Name | Description |
model_path | strCloud Storage path that holds the model files. |
input | Dict, default NoneSpecify the model input schema information when you create the XGBoost model. The input should be the format of {field_name: field_type}. Input is optional only if feature_names and feature_types are both specified in the model file. Supported types are "bool", "string", "int64", "float64", "array |
output | Dict, default NoneSpecify the model output schema information when you create the XGBoost model. The input should be the format of {field_name: field_type}. Output is optional only if feature_names and feature_types are both specified in the model file. Supported types are "bool", "string", "int64", "float64", "array |
session | BigQuery SessionBQ session to create the model. |