Clean up notebooks and rebuild fairing images.

[abcdefgs0324]

• Change the default values instead of the original basic settings, such as default size for hidden layers, learning rate strategy and max iteration, for classifiers. The original basic setting is too hard to have a look at the initial results because they are too "basic". They are still able to be specified in the pipeline if someone likes.
• Update the repo configs in two notebooks, which was the changes from Clean up RepoConfig #43.
• Clean up the notebooks to make them use the latest /py.
• Rebuild the fairing image for the training pipeline.

/assign @jlewi
/assign @zhenghuiwang
/assign @hamelsmu

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[jlewi]

@abcdefgs0324 It looks like you are making some model changes

• Changing default size for hidden layers
• Using "adaptive"

Can you explain these changes in the PR description?

[abcdefgs0324]

@jlewi I revised the PR description, PTAL. Thanks!

[zhenghuiwang]

/lgtm

Do the new default parameters yield models with better precision and recall?

[abcdefgs0324]

@zhenghuiwang Yes, I think so. The old default parameters are pretty bad on multiple datasets in my experiments.

[jlewi]

/lgtm
/approve

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