Thank you.
I was however looking for whether the developers intend to implement sparse
matrix support for GBRT
On Sun, Aug 4, 2013 at 10:21 PM, Maheshakya Wijewardena <
[email protected]> wrote:
> As far I know. these are the only models that support sparse matrices
>
> linear_model.LogisticRegression()
> svm.SVR()
> svm.NuSVR()
> linear_model.LinearRegression()
> neighbors.KNeighborsRegressor()
> naive_bayes.MultinomialNB()
> naive_bayes.BernoulliNB()
> linear_model.PassiveAggressiveRegressor()
> linear_model.PassiveAggressiveClassifier()
> linear_model.Perceptron()
> linear_model.Ridge()
> linear_model.Lasso()
> linear_model.ElasticNet()
>
>
> On Sun, Aug 4, 2013 at 7:34 PM, hrishi <[email protected]> wrote:
>
>> My data consists solely of categorical variables and I have used one hot
>> encoding.
>>
>> I can't convert the sparse matrix to dense since I have too many
>> categories.
>>
>> Are there any plans to implement sparse arrays for gradient boosted
>> regression trees in scikit?
>>
>> --
>>
>> Hrishikesh V. Ganu
>>
>> Mobile: 9740639172
>> http://in.linkedin.com/pub/hrishikesh-ganu/5/5a7/773
>>
>>
>>
>> ------------------------------------------------------------------------------
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>
--
Hrishikesh V. Ganu
Mobile: 9740639172
http://in.linkedin.com/pub/hrishikesh-ganu/5/5a7/773
------------------------------------------------------------------------------
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Version control is standard for application code, but databases havent
caught up. So what steps can you take to put your SQL databases under
version control? Why should you start doing it? Read more to find out.
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