Updated readme

README.md

@@ -45,8 +45,7 @@ You can setup a full stack machine learning pipeline in a few lines of code:
 from sklearn.datasets import load_breast_cancer
 from sklearn.model_selection import KFold
 
-from photonai.base import Hyperpipe, PipelineElement
-from photonai.optimization import FloatRange, Categorical, IntegerRange
+from photonai import Hyperpipe, PipelineElement, FloatRange, Categorical, IntegerRange
 
 # DESIGN YOUR PIPELINE
 my_pipe = Hyperpipe('basic_svm_pipe',  # the name of your pipeline