yes, I forgot to include sklearn.base.BaseEstimator as a base class of
Quantizer.
On 13 September 2014 06:29, Pagliari, Roberto <[email protected]>
wrote:
> I’m now getting this:
>
> 'Quantizer' object has no attribute 'get_params'
>
>
>
> Do I need to add some other classes to the declaration?
>
>
>
> Thanks,
>
>
>
>
>
> *From:* Joel Nothman [mailto:[email protected]]
> *Sent:* Thursday, September 11, 2014 9:37 PM
>
> *To:* scikit-learn-general
> *Subject:* Re: [Scikit-learn-general] binarizer with more levels
>
>
>
> Good point. It should be straightforward in any case, something like:
>
> class Quantizer(sklearn.base.TransformerMixin):
>
> def __init__(self, thresholds):
>
> self.thresholds = thresholds # must be sorted
>
> def transform(X, y=None):
>
> return np.searchsorted(self.thresholds, X)
>
>
>
> On 12 September 2014 11:20, Pagliari, Roberto <[email protected]>
> wrote:
>
> In my case I would like to do it right after scaling, while doing grid
> search.
>
>
>
> This would be different to quantize the entire training set at the
> beginning.
>
>
>
>
>
> Thank you,
>
>
>
>
>
> *From:* Joel Nothman [mailto:[email protected]]
> *Sent:* Thursday, September 11, 2014 9:00 PM
>
>
> *To:* scikit-learn-general
> *Subject:* Re: [Scikit-learn-general] binarizer with more levels
>
>
>
> If thresholds can be provided to the constructor then they are not
> estimated automatically from the training data. This is the sort of
> preprocessing you can and should do with pandas.
>
>
>
> On 12 September 2014 10:53, Pagliari, Roberto <[email protected]>
> wrote:
>
> I’m getting errors about get_params_ missing etc…
>
>
>
> I guess I need to derive my own binarizer from some other classes. Is
> there a way to simplify the process?
>
>
>
> Essentially, what I need is the binarizer, with more levels (and
> thresholds provided to the constructors).
>
>
>
> Thank you
>
>
>
> *From:* Joel Nothman [mailto:[email protected]]
> *Sent:* Thursday, September 11, 2014 5:05 PM
> *To:* scikit-learn-general
> *Subject:* Re: [Scikit-learn-general] binarizer with more levels
>
>
>
> For quantizing or binning? Not currently.
>
>
>
> On 12 September 2014 06:31, Pagliari, Roberto <[email protected]>
> wrote:
>
> Is there something like the binarizer with more levels (thresholds
> provided with input)
>
>
>
>
>
> Thanks
>
>
>
>
>
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