I looked into some examples I found online but I’m a bit confused.
Supposed I want to implement my own transformer, something similar to the
standard scaler. Would this be sufficient to be used in a pipeline, or should
it be done differently?
class ModelTransformer(TransformerMixin):
def __init__(self, model):
self.my_param = None
def fit(self, *args, **kwargs):
# do some stuff
self.my_param = something
return self
def transform(self, X, **transform_params):
# do something with self.myparam and X.copy()
return X.copy()
def set_params(**params):
return self
def get_params(deep=True):
return None
Thank you,
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