TargetStandardScaler¶
Applies standard scaling to the target.
Parameters¶
-
regressor
Type → base.Regressor
Regression model to wrap.
Examples¶
from river import datasets
from river import evaluate
from river import linear_model
from river import metrics
from river import preprocessing
dataset = datasets.TrumpApproval()
model = (
preprocessing.StandardScaler() |
preprocessing.TargetStandardScaler(
regressor=linear_model.LinearRegression(intercept_lr=0.15)
)
)
metric = metrics.MSE()
evaluate.progressive_val_score(dataset, model, metric)
MSE: 2.005999
Methods¶
learn_one
Fits to a set of features x
and a real-valued target y
.
Parameters
- x
- y
predict_one
Predict the output of features x
.
Parameters
- x
Returns
The prediction.