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Data.xnew() is broken #40

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chrkorn opened this issue Apr 8, 2020 · 1 comment

chrkorn commented Apr 8, 2020

The assignment to df.values does not work and leaves all feature data set to 0.

csp197 added a commit to csp197/numerox that referenced this issue


          Fixing numerai#32,numerai#33, and possibly numerai#40

d7a7138

csp197 mentioned this issue

Open

clementpoiret commented Sep 27, 2020 •

edited

I encountered the same problem with the following code:

import numerox as nx
from sklearn.preprocessing import StandardScaler

data = nx.load_zip('.numerai_datasets.zip', single_precision=True)
sc = StandardScaler()
x = sc.fit_transform(data.x)
data = data.xnew(x)

data.x is now a matrix full of zeros

EDIT: when setting single_precision=False, xnew has the correct behavior

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