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using RDatasets
using DataFrames
using MLJ
using MLJLinearModels
boston = dataset("MASS", "Boston")
data = DataFrame(boston)
y = data.MedV
X = select(data, Not(:MedV))
train, test = partition(eachindex(y), 0.3, shuffle=true, rng=123)
lr = MLJLinearModels.LinearRegressor()
mach = machine(lr, X, y)
fit!(mach, rows=train)
y_pred = predict(mach, X[test, :])
println(y_pred)
# code
报错显示，Warning: The number and/or types of data arguments do not match what the specified model supports. Suppress this type check by specifying scitype_check_level=0.
请问如何解决？谢谢！
