python - Error with Sklearn Random Forest Regressor -


when trying fit random forest regressor model y data looks this:

[  0.00000000e+00   1.36094276e+02   4.46608221e+03   8.72660888e+03    1.31375786e+04   1.73580193e+04   2.29420671e+04   3.12216341e+04    4.11395711e+04   5.07972062e+04   6.14904935e+04   7.34275322e+04    7.87333933e+04   8.46302456e+04   9.71074959e+04   1.07146672e+05    1.17187952e+05   1.26953374e+05   1.37736003e+05   1.47239359e+05    1.53943242e+05   1.78806710e+05   1.92657725e+05   2.08912711e+05    2.22855152e+05   2.34532982e+05   2.41391255e+05   2.48699216e+05    2.62421197e+05   2.79544300e+05   2.95550971e+05   3.13524275e+05    3.23365158e+05   3.24069067e+05   3.24472999e+05   3.24804951e+05

and x data looks this:

[ 735233.27082176  735234.27082176  735235.27082176  735236.27082176   735237.27082176  735238.27082176  735239.27082176  735240.27082176   735241.27082176  735242.27082176  735243.27082176  735244.27082176   735245.27082176  735246.27082176  735247.27082176  735248.27082176

with following code:

regressor = randomforestregressor(n_estimators=150, min_samples_split=1) rgr = regressor.fit(x,y)

i error:

valueerror: number of labels=600 not match number of samples=1

i assume 1 of sets of values in wrong format not clear me documentation.

the shape of x should [n_samples, n_features], can transform x by

x = x[:, none]

-

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