Additional parameters for fairlearn reductions

[hoffmansc]

• [ ] ~~Pass through sample_weights in fit()~~
• [ ] A few optional args are missing from our initializer (e.g. grid_offset)
• [ ] Optional random_state arg for __init__() which is used in ExponentiatedGradient .predict() (see also #226)
• [ ] Support regression with ExponentiatedGradient (copy from GridSearchReduction)
  • [ ] Additional constraints
  • [ ] Use LabelEncoder only if ClassificationMoment

[Nikitha-Narendra]

I would like to work on this issue

[keerti-1997]

keerti-1997 I would like to contribute to this issue