TypeError: ufunc 'add' output (typecode 'O') could not be coerced to provided outp ut parameter (typecode 'd') according to the casting rule ''same_kind''

[jpainam]

Hi, I'm runing a code and got this error. Any help will be appreciated. Here is my code

import numpy as np
import scipy.sparse as sps
from sklearn.preprocessing import StandardScaler
from pyglmnet import GLM
import pandas as pd
glm = GLM(distr='poisson', score_metric='pseudo_R2')
df = pd.read_excel("../pseudo.xlsx")
df = df.fillna(value=0)
dataset = df.values
Xtrain = dataset[:, 3:]
ytrain = dataset[:, 2]
scaler = StandardScaler().fit(Xtrain)
glm.fit(scaler.transform(Xtrain), ytrain)

pseudor = glm[0].score(scaler.transform(Xtrain), ytrain)
print(pseudor)

and the error

\lib\site-
packages\pyglmnet\pyglmnet.py", line 389, in _grad_L2loss
    X[selector, :]))
TypeError: ufunc 'add' output (typecode 'O') could not be coerced to p
rovided output parameter (typecode 'd') according to the casting rule
''same_kind''

[jasmainak]

unfortunately I cannot help unless you share the data somehow.

alternatively try to reproduce the behavior with random or simulated data so you mimic the issue that your dataset has