- 2.17.0 (latest)
- 2.16.0
- 2.15.0
- 2.14.0
- 2.13.0
- 2.12.0
- 2.11.0
- 2.10.0
- 2.9.0
- 2.8.0
- 2.7.0
- 2.6.0
- 2.5.0
- 2.4.0
- 2.3.0
- 2.2.0
- 2.0.0-dev0
- 1.36.0
- 1.35.0
- 1.34.0
- 1.33.0
- 1.32.0
- 1.31.0
- 1.30.0
- 1.29.0
- 1.28.0
- 1.27.0
- 1.26.0
- 1.25.0
- 1.24.0
- 1.22.0
- 1.21.0
- 1.20.0
- 1.19.0
- 1.18.0
- 1.17.0
- 1.16.0
- 1.15.0
- 1.14.0
- 1.13.0
- 1.12.0
- 1.11.1
- 1.10.0
- 1.9.0
- 1.8.0
- 1.7.0
- 1.6.0
- 1.5.0
- 1.4.0
- 1.3.0
- 1.2.0
- 1.1.0
- 1.0.0
- 0.26.0
- 0.25.0
- 0.24.0
- 0.23.0
- 0.22.0
- 0.21.0
- 0.20.1
- 0.19.2
- 0.18.0
- 0.17.0
- 0.16.0
- 0.15.0
- 0.14.1
- 0.13.0
- 0.12.0
- 0.11.0
- 0.10.0
- 0.9.0
- 0.8.0
- 0.7.0
- 0.6.0
- 0.5.0
- 0.4.0
- 0.3.0
- 0.2.0
Imported models.
Classes
ONNXModel
ONNXModel
(
model_path
:
str
,
*
,
session
:
typing
.
Optional
[
bigframes
.
session
.
Session
]
=
None
)
Imported Open Neural Network Exchange (ONNX) model.
model_path
str
Cloud Storage path that holds the model files.
session
BigQuery Session
BQ session to create the model.
TensorFlowModel
TensorFlowModel
(
model_path
:
str
,
*
,
session
:
typing
.
Optional
[
bigframes
.
session
.
Session
]
=
None
)
Imported TensorFlow model.
model_path
str
Cloud Storage path that holds the model files.
session
BigQuery Session
BQ 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.
model_path
str
Cloud Storage path that holds the model files.
input
Dict, default None
Specify 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 None
Specify 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 Session
BQ session to create the model.
