[scikit-learn] Random Forest with Mean Absolute Error

I searched the archives to see if this was a known issue, but could not seem to find anyone else having the problem. Nevertheless, in the latest version (0.18) Random Forest Regressor has the new option of 'mae' for criterion. However it appears to run disporportinally longer than the 'mse' crite

Re: [scikit-learn] Using Scikit-Learn to predict magnetism in chemical systems

You definitely can use some of the tools in sci-kit learn for supervised machine learning. The real trick will be how well your training system is representative of your future predictions. All of the various regression algorithms would be of some value and you make even consider an ensemble to h

Re: [scikit-learn] Clarification regarding SGDClassifier

I think your use of "X" in X_mod should be "X_train" instead, as X_mod is currently using unshuffled indices while X_check uses the shuffled indices. Virus-free. www.avast.co

[scikit-learn] LassoCV.coef not implemented (I think)

;m not sure if this is an documentation oversight or a real issue but wanted to get clarification. I can get what I need from o ther methods, but wanted to see if this needed to be addressed. Best Regards, Robert Slater ___ scikit-learn mailing list scik

Re: [scikit-learn] LassoCV.coef not implemented (I think)

ed in the documentation. > It will correspond to the values tried by cross-validation. > If instead, you are passing an array to `alphas` then `alphas_` will be > the same as `alphas_` after calling `fit`. > > Cheers, > > > On Sun, 31 Jan 2021 at 20:45, Robert Slater wrote:

Re: [scikit-learn] LassoCV.coef not implemented (I think)

Ok its on me--I was reading the return objects for path method. My apologies. On Sun, Jan 31, 2021 at 2:38 PM Guillaume Lemaître wrote: > > > On Sun, 31 Jan 2021 at 21:24, Robert Slater wrote: > >> Appreciate the clarification. I definitely think the docs need some >&

Re: [scikit-learn] cant install scikit-learn

What was the second error? What version of python are you using?What version of windows are you using? This will help troubleshoot the issue. On Fri, Aug 20, 2021, 5:16 PM John Grenci via scikit-learn < scikit-learn@python.org> wrote: > Hello, hoping somebody can help me. > > > > I have tried

[scikit-learn] SGD Early Stopping

We have something we are not understanding. clf2 = SGDClassifier(loss='log', penalty='l2',shuffle=True, max_iter=10,tol=.1, early_stopping=True, validation_fraction=0.2, n_iter_no_change=2, verbose=0, random_state=1) clf2.fit(X_train,y_train) clf2.n_i