unhashable type: 'numpy.ndarray'

[fusaroli]

I am trying out basic tpot functionalities in a toy dataset (latest version, latest commit: f114a0d), and I keep getting:
"unhashable type: 'numpy.ndarray'" for the score function.

My code: https://www.dropbox.com/s/qjor6ewmcngr2xp/TpotCode.txt?dl=0&preview=TpotCode.txt
The data: https://www.dropbox.com/s/5jq1s2z4e4fm6or/Trial.txt?dl=0&preview=Trial.txt

[rhiever]

I believe the issue was a data shape issue. The predictors should be an array of arrays, whereas the outcomes should be an array of numbers.

I corrected the code below and it seems to work fine.

## Now TPOT
import pandas as pd
from numpy import array
from tpot import TPOT  
from sklearn.cross_validation import train_test_split  

# Import data
Data = pd.DataFrame.from_csv("Trial.txt",sep='\t',index_col=0)
Data=Data.ix[:,0:40]
Data=Data.dropna()
Data = Data.reset_index()

# I changed the two lines below this comment
Outcome=Data["Population"].values
Predictors=Data.ix[:,4:13].values

# Make sure to specify test_size also
X_train, X_test, y_train, y_test = train_test_split(Predictors, Outcome,  
                                                    train_size=0.75,
                                                    test_size=0.25)

tpot = TPOT(generations=5)  
tpot.fit(X_train, y_train)  
tpot.score(X_train, y_train, X_test, y_test)

[fusaroli]

oh, silly me. Thanks!