Explore the data with continuous output and category input about interpret HOT 4 OPEN

Hi @Vu1992 -- It should handle continuous output and category input. I don't see that error message in our repo or on the internet. Can you include a stack trace? Also, is the data public?

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Hi @paulbkoch ,

Thank for your reply. Unfortunately that the data is private, but i can show you what i'm trying to do. I have a dataframe and do the following step with df is my data as a table.
A=df[['BRANCH']] ; B=df[['Gross_Incurred']]; names=['BRANCH']
So basically A and B have the value as in the image bellow


Then I use your code for Data explorer
marginal = Marginal(names).explain_data(A, B, name='Train Data'); show(marginal)
Then python comeback to me with Type Error: unsupported operand type(s) for -: 'str' and 'str

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I tried to replicate this with the following code:

import numpy as np
import pandas as pd
from interpret.data import Marginal
from interpret import show
names=['BRANCH']
A = pd.DataFrame()
A["BRANCH"] = pd.Series(np.array(['VC', 'VC', 'MS', 'VH'], dtype=np.str_))
B = pd.DataFrame()
B["Gross_Incurred"] = pd.Series(np.array([18000000.0, 36200000000.0, 0.0, -50000000.0], dtype=float))
marginal = Marginal(names).explain_data(A, B, name='Train Data'); show(marginal)

My example works though. Any idea what could be different?

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Thank for your help.
I don't know what have gone wrong last time but now i tried again it work but the graph do not change when i change to Type Categorical even in your replication.
when i add continuous variable, it show like this

but when i want to see the categorical variable, nothing change

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