Weixuan Fu

Sorry it should be #523

Oops, I just closed by mistake. Cellphone screen is too small for typing. Sorry.

So far google colab is not a good environment to run cuML version > 0.15. Please try to use [BlazingSQL](https://app.blazingsql.com)

Those complex combinations of feature transformation were not supported in TPOT. I think [`ColumnTransformer`](https://scikit-learn.org/stable/modules/generated/sklearn.compose.ColumnTransformer.html) is needed for this idea in this issue. Also, as mentioned above, because multi-object optimization should...

Could you please shared the stderr about missing `ipywidgets`? I think TPOT does not import ipywidgets when running classifier example.

We recommend user to use anaconda to install tpot in the [installation guide](https://epistasislab.github.io/tpot/installing/) and `ipywidgets` is [default package in anaconda](https://docs.anaconda.com/anaconda/packages/pkg-docs/). But if user just installs tpot via pip then this...

@hanshupe thank you for answer the question herein. @RafeyIqbalRahman I think the `y`'s shape should `(18, )` instead of `(18, 1)` if `y` is a 1-D array.

@RafeyIqbalRahman I cannot check your Colab notebook (maybe permission issue?) and am not sure why Flask app is not working. Could you please provide a demo for reproducing the issue...

I have a quick look. I think `final_features` only has 1 feature but the model was fitted with 2 features (`X.shape=(18,2)`), which make the prediction did not work. You can...

Neat! Thank you for this PR. I think it should work for checking multi output dataset. But I checked this [link](https://stats.stackexchange.com/questions/153853/regression-with-scikit-learn-with-multiple-outputs-svr-or-gbm-possible), I think that not all regressors in our default...