def RPtrainer(**params):
import h2o
h2o.init()
try:
model = h2o.H2OFakeGameEstimator(model_config=fg.rProp(**params))
model_name = "Fakegame - RProp"
trainTime = dt.now()
model.train(x=x_cols,
y=y_col,
training_frame=trdata,
validation_frame=vadata)
initTime = dt.now() - optStart
trainTime = dt.now() - trainTime
mse = model.mse(valid=True)
benchmark(model, model_name, params, initTime, trainTime)
return mse
except:
print("Error in {} with params {}".format(model_name, str(params)))
return 10e15
def RPtrainer(x_cols, y_col, trdata, vadata, **params):
model = h2o.H2OFakeGameEstimator(model_config=fg.rProp(**params))
model.train(x=x_cols,y=y_col, training_frame=trdata, validation_frame=vadata)
return model.mse(valid=True)