def testCSV(self):
ml = ML()
# ml.compute_statistics(iris, "sepallength")
t = Training(
"classification", "LogisticRegression", {
"maxIter": 10,
"regParam": 0.3,
"elasticNetParam": 0.8,
"family": "multinomial"
}, 0.7, iris, "./model/lr")
# ml.train_model(t)
ml.model_predict_single(t, iris)
def testALS(self):
ml = ML()
t = Training("recommendation", "ALS", {"maxIter": 9}, 0.7, test,
"./model/als")
ml.model_predict_single()
print(ml.train_model(t))
