[NEW AGENT] sklearn ML agent

[chenbensong]

The h2o agent is cool, but needs h2o clusters. How about a simpler sklearn / xgboost ML agent. Thanks!

[giveandgofoundation-cloud]

import xgboost as xgb
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score

Example: Using XGBoost with Sklearn Wrapper

clf = xgb.XGBClassifier(tree_method="hist", early_stopping_rounds=2)
clf.fit(X_train, y_train, eval_set=[(X_test, y_test)])
predictions = clf.predict(X_test)