- 2.17.0 (latest)
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- 2.6.0
- 2.5.0
- 2.4.0
- 2.3.0
- 2.2.0
- 2.0.0-dev0
- 1.36.0
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- 0.14.1
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Pipeline
(
steps
:
typing
.
List
[
typing
.
Tuple
[
str
,
bigframes
.
ml
.
base
.
BaseEstimator
]])
Pipeline of transforms with a final estimator.
Sequentially apply a list of transforms and a final estimator.
Intermediate steps of the pipeline must be transforms
. That is, they
must implement fit
and transform
methods.
The final estimator only needs to implement fit
.
The purpose of the pipeline is to assemble several steps that can be
cross-validated together while setting different parameters. This simplifies code and allows for
deploying an estimator and preprocessing together, e.g. with Pipeline.to_gbq(...).
Methods
__repr__
__repr__
()
Print the estimator's constructor with all non-default parameter values.
fit
fit
(
X
:
typing
.
Union
[
bigframes
.
dataframe
.
DataFrame
,
bigframes
.
series
.
Series
],
y
:
typing
.
Optional
[
typing
.
Union
[
bigframes
.
dataframe
.
DataFrame
,
bigframes
.
series
.
Series
]
]
=
None
,
)
-
> bigframes
.
ml
.
pipeline
.
Pipeline
Fit the model.
Fit all the transformers one after the other and transform the data. Finally, fit the transformed data using the final estimator.
X
bigframes.dataframe.DataFrame
or bigframes.series.Series
A DataFrame or Series representing training data. Must match the input requirements of the first step of the pipeline.
y
bigframes.dataframe.DataFrame
or bigframes.series.Series
A DataFrame or Series representing training targets, if applicable.
Pipeline
get_params
get_params
(
deep
:
bool
=
True
)
-
> typing
.
Dict
[
str
,
typing
.
Any
]
Get parameters for this estimator.
deep
bool, default True
Default True
. If True, will return the parameters for this estimator and contained subobjects that are estimators.
Dictionary
predict
predict
(
X
:
typing
.
Union
[
bigframes
.
dataframe
.
DataFrame
,
bigframes
.
series
.
Series
,
pandas
.
core
.
frame
.
DataFrame
,
pandas
.
core
.
series
.
Series
,
]
)
-
> bigframes
.
dataframe
.
DataFrame
API documentation for predict
method.
score
score
(
X
:
typing
.
Union
[
bigframes
.
dataframe
.
DataFrame
,
bigframes
.
series
.
Series
],
y
:
typing
.
Optional
[
typing
.
Union
[
bigframes
.
dataframe
.
DataFrame
,
bigframes
.
series
.
Series
]
]
=
None
,
)
-
> bigframes
.
dataframe
.
DataFrame
API documentation for score
method.
to_gbq
to_gbq
(
model_name
:
str
,
replace
:
bool
=
False
)
-
> bigframes
.
ml
.
pipeline
.
Pipeline
Save the pipeline to BigQuery.
model_name
str
The name of the model(pipeline).
replace
bool, default False
Whether to replace if the model(pipeline) already exists. Default to False.
Pipeline
