I am totally new to Machine Learning and I have been working with unsupervised learning technique.
Image shows my sample Data(After all Cleaning) Screenshot : Sample Data
I have this two Pipeline built to Clean the Data:
num_attribs = list(housing_num)
cat_attribs = ["ocean_proximity"]
print(type(num_attribs))
num_pipeline = Pipeline([
('selector', DataFrameSelector(num_attribs)),
('imputer', Imputer(strategy="median")),
('attribs_adder', CombinedAttributesAdder()),
('std_scaler', StandardScaler()),
])
cat_pipeline = Pipeline([
('selector', DataFrameSelector(cat_attribs)),
('label_binarizer', LabelBinarizer())
])
Then I did the union of this two pipelines and the code for the same is shown below :
from sklearn.pipeline import FeatureUnion
full_pipeline = FeatureUnion(transformer_list=[
("num_pipeline", num_pipeline),
("cat_pipeline", cat_pipeline),
])
Now I am trying to do fit_transform on the Data But Its showing Me the Error.
Code for Transformation:
housing_prepared = full_pipeline.fit_transform(housing)
housing_prepared
Error message: fit_transform() takes 2 positional arguments but 3 were given