Ah, i see! Thanks a ton, Brian!:) I really appreciate it :)
regards,
shankar.
On Thu, Jul 19, 2012 at 6:02 PM, Brian Holt <[email protected]> wrote:
> Hi Shankar,
>
> I can reproduce your error and it turns out to be quite a subtle bug
> in your class.
>
> self.reg=RandomForestRegressor(n_estimators, max_depth,
> min_samples_split, random_state, n_jobs=1, **kwargs)
> self.clf=RandomForestClassifier(n_estimators, max_depth,
> min_samples_split, random_state,n_jobs=1, **kwargs)
>
> max_depth is given a default value of 'None' and because you're not
> using named parameters, the interpreter is using your variable
> max_depth as the criterion, which is now 'None', giving the KeyError.
>
> This code runs with no errors:
>
> self.reg=RandomForestRegressor(n_estimators=n_estimators,
> max_depth=max_depth, min_samples_split=min_samples_split,
> random_state=random_state, n_jobs=1, **kwargs)
> self.clf=RandomForestClassifier(n_estimators=n_estimators,
> max_depth=max_depth, min_samples_split=min_samples_split,
> random_state=random_state,n_jobs=1, **kwargs)
>
> Cheers
> Brian
>
> On 19 July 2012 10:41, Shankar Satish <[email protected]> wrote:
> > Sure! Here is X_train[0:5] :
> >
> > [[ 0.65179688 -0.9582746 1.04295266 -0.26265019 -0.14655937
> 1.58062601]
> > [-1.53422034 -0.9582746 1.04295266 -0.26265019 -0.14655937
> -0.31644633]
> > [ 0.65179688 1.04354227 -0.95881623 2.22137356 -0.67541134
> 0.31591111]
> > [ 0.65179688 -0.9582746 1.04295266 -0.88365614 -0.80762434
> -1.26498246]
> > [-1.53422034 -0.9582746 1.04295266 -0.88365614 0.55857652
> -0.63262504]]
> >
> > And here is Y_train[0:5] :
> >
> > array([ 0.44400001, 0.011 , 0.046 , 0.49200001, 0.078 ],
> > dtype=float32)
> >
> > Also, Y has some values = -1.0.
> >
> > regards
> > shankar.
> >
> >
> >
> >
> >
> >
> > On Thu, Jul 19, 2012 at 4:58 PM, Brian Holt <[email protected]> wrote:
> >>
> >> Hi Shankar,
> >>
> >> Can you paste a small snippet of your data (X_train, Y_train) that
> >> reproduces this behaviour?
> >>
> >> Cheers
> >> Brian
> >>
> >>
> >>
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