Re: [scikit-learn] combining datasets from different sources

2017-09-07 Thread Maciek Wójcikowski
2017-09-07 15:57 GMT+02:00 Thomas Evangelidis : > > > On 7 September 2017 at 15:29, Maciek Wójcikowski > wrote: > >> I think StandardScaller is what you want. For each assay you will get >> mean and var. Average mean would be the "optimal" shift and average >> variance the spread. But would this

Re: [scikit-learn] combining datasets from different sources

2017-09-07 Thread Thomas Evangelidis
On 7 September 2017 at 15:29, Maciek Wójcikowski wrote: > I think StandardScaller is what you want. For each assay you will get mean > and var. Average mean would be the "optimal" shift and average variance the > spread. But would this value make any physical sense? > > ​I think you missed my poi

Re: [scikit-learn] combining datasets from different sources

2017-09-07 Thread Maciek Wójcikowski
I think StandardScaller is what you want. For each assay you will get mean and var. Average mean would be the "optimal" shift and average variance the spread. But would this value make any physical sense? Considering the RF-Score-VS: In fact it's a regressor and it predicts a real value, not a cla