python: DataConversionWarning: Data with input dtype uint8, int64 were all converted to float64 by StandardScaler
It means that you have columns in your dataset of type integer. It's a warning, so you are good to go if you need to scale your features for a regression or a neural network.
I don't understand this message /opt/conda/envs/Python36/lib/python3.6/site-packages/sklearn/preprocessing/data.py:645: DataConversionWarning: Data with input dtype uint8, int64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
/opt/conda/envs/Python36/lib/python3.6/site-packages/ipykernel/__main__.py:2: DataConversionWarning: Data with input dtype uint8, int64 were all converted to float64 by StandardScaler.
  from ipykernel import kernelapp as app 
My code is :
X = Feature_test
testX= preprocessing.StandardScaler().fit(X).transform(X)
What does it mean??
And how can I fix it?