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ENH - Add support of intercept in ``SDCARegressor``

1

Is it planned to add support of intercept in ``SDCARegressor`` in future releases?

Badr-MOUFAD

FistaRegressor does not converge for real data

3

I can get the `FistaRegressor` to converge when data is trivial. The code for the simulated data is below. ```python from scipy import stats N, P = 300, 30 m_true...

arose13

Unsafe screening with CDClassifier?

1

Setting `shrinking=True` in `CDClassifier` with loss `log` and penalty `l1` seems to not converge toward the optimal solution. Increasing the number of iteration does not change this. It looks like...

tomMoral

DOC: sometimes the Lasso solution is the same as sklearn, sometimes not

5

Hi @mblondel @fabianp I think this will be short to answer, why is the solution sometimes equal to that of sklearn, and sometimes not ? This should be quick to...

mathurinm

Does lightning natively support multi-label

1

Hey, i'm wondering if multi-label is natively supported or if this in WIP. Thanks.

Mtaylert

do you have implementation for regression with confidence intervals ?

Sandy4321

do you have support vector regression with soft margin and confidence interval ?

Sandy4321

do you have Regression for spars categorical big data after one hot transformation then data is spars and only ones and zeros values many zeros and few ones?

Sandy4321

do you have Quantile Regression for spars data after one hot transformation

Sandy4321

training is a pd.DataFrame features is a list of column names model = AdaGradRegressor() model.fit(training[features], training['target']) throws ~\Anaconda3\envs\numerai\lib\site-packages\lightning\impl\adagrad.py in fit(self, X, y) 130 def fit(self, X, y): 131 self.outputs_2d_ =...

simpsus