Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/19172#discussion_r137922397
--- Diff: python/pyspark/ml/tests.py ---
@@ -1655,6 +1655,25 @@ def
test_multinomial_logistic_regression_with_bound(self):
np.allclose(model.interceptVector.toArray(), [-0.9057,
-1.1392, -0.0033], atol=1E-4))
+class MultilayerPerceptronClassifierTest(SparkSessionTestCase):
+
+ def test_multilayer_perceptron_classifier(self):
+
+ data_path = "data/mllib/sample_multiclass_classification_data.txt"
+ df = self.spark.read.format("libsvm").load(data_path)
+
+ mlp = MultilayerPerceptronClassifier(maxIter=100, layers=[4, 5, 4,
3], blockSize=1, seed=123)
--- End diff --
We can simplify the layer structure to speed up tests. E.g, use 3 layers
structure.
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