Lau Sze Yui

Can't use predict_proba with #196 example

Predict_proba is now working properly but functional terms is (still) broken. It only returns the predicted class of the first item if a functional term is given.

``` base_estimator = LogisticGAM(n_splines=5) ensemble = OneVsRestClassifier(base_estimator, n_jobs=1) ensemble.fit(X_train, y_train) OneVsRestClassifier(estimator=LogisticGAM(callbacks=['deviance', 'diffs', 'accuracy'], fit_intercept=True, max_iter=100, n_splines=5, terms='auto', tol=0.0001, verbose=False), n_jobs=1) ensemble.predict_proba(X_test) array([[1.19215720e-01, 9.04500103e-02, 1.77326087e-05, ..., 2.42330347e-03, 1.32568439e-01, 2.24134228e-01], [1.66961024e-01, 1.26811544e-01,...

Well so in order to save it to python right now I've to `jit_trace` a function which do nothing (e.g. minus 0)?

Cool I changed the title and leave it open then

I'm trying to save a tensor from R and load it from python and not much luck with jit. I can convert it to array and turn into numpy object...

Hi I'm working on sports data where e.g. for weight player performance more recent data would be more valuable. In general I think it would be a useful feature to...

tried https://github.com/BurntSushi/nfldb/issues/194 ?

I only edit the game.py and live and schedule one are due to the change on schedule update over the new season. In game.py EPA is added as a property...

Very helpful thanks!