Re: [Scikit-learn-general] BIRCH - Testing datasets

Thanks. That makes sense. Actually, I am trying as well to make the threshold dynamic. Still have to test my approach. Best, On Mon, Nov 30, 2015 at 9:15 PM, Manoj Kumar wrote: > Ah well, the value of the threshold set depends on your data. > > If your data is

Re: [Scikit-learn-general] Import error for Robust scaler

On 12/02/2015 05:19 AM, Sumedh Arani wrote: > > Greetings!! > > Yet still the problem still arises and it still shows import error for > RobustScaler > > And I also am reading the documentation of 0.16 for reference. When I > tried to run one of the examples given in examples folder and it has

[Scikit-learn-general] Dynamic Time Warping Contribution

Hello, I’m not sure if this is the correct place to send this. If it is not, could you please direct me to the best place? Thank you. I’d like to add a dynamic time warping metric to sklearn.neighbors.DistanceMetric. Dynamic time warping is one of the most used distance metrics for time series,

Re: [Scikit-learn-general] speceficity metric for Crossvalidation

There is no specificity metric, but it is easy to implement. What have you tried and what exactly was the error you got when using ``make_scorer``? You can either write a callable that takes "trained estimator, X_test, y_test" or you can write a function that takes y_test, y_pred and call

Re: [Scikit-learn-general] Import error for Robust scaler

Greetings!! My negligence!! Thanks for the reply!!:-) Yours sincerely, Sumedh Arani, PES University. On 7 Dec 2015 00:56, "Andy" wrote: > On 12/02/2015 05:19 AM, Sumedh Arani wrote: > > > > Greetings!! > > > > Yet still the problem still arises and it still shows import error

Re: [Scikit-learn-general] Jeff Levesque: '.predict_proba()' me tho for smaller datasets

Hi Jeff, In general, most implementations of predict_proba are some proxy the conditional probability p(y|x). Some of them really are modelling this quantity quite well (e.g., gaussian process) while for some others it is closer to a heuristic than to the actual p(y|x) (e.g., with linear models).

Re: [Scikit-learn-general] Jeff Levesque: '.predict_proba()' me tho for smaller datasets

On 12/01/2015 11:28 PM, Jeff Levesque wrote: > Is there a way to determine if the data used with the SVC class, used to > generate an SVM model, would generate a poor model, or confidence percentage > (or 'decision_function', if that's preferred)? > > I don't understand the question.

Re: [Scikit-learn-general] sklearn.cross_decomposition.PLSRegression: how to re-scale my prediction?

Hi Ola. Can you please raise an issue on the issue tracker, preferably with code and data to reproduce? If you can't share your data, see if you can reproduce the issue with synthetic data. Best, Andy On 12/02/2015 10:34 AM, Ola Pawluczyk wrote: Hello all, I'm doing a PLS regression on

Re: [Scikit-learn-general] Multi Label classification using OneVsRest Classifier

Hi all, Hope you are doing well. I was able to successfully complete multi label classification using SGD Classifier inside OneVsRest Classifier. Something peculiar is happening: When I am using the classifier to predict on new data, the prediction probability is 1 for particular 2 columns