Add exception for async tensorboard and fix tests.

Fix the PCA and factorization machines async fit integration tests
and add an exception when running Tensorboard with async fit.

Author: Ignacio Quintero

src/sagemaker/tensorflow/estimator.py

@@ -152,6 +152,9 @@ def fit(self, inputs, wait=True, logs=True, job_name=None, run_tensorboard_local
         def fit_super():
             super(TensorFlow, self).fit(inputs, wait, logs, job_name)
 
+        if run_tensorboard_locally and wait is False:
+            raise ValueError("Tensorboard is not supported with async fit")
+
         if run_tensorboard_locally:
             tensorboard = Tensorboard(self)
             tensorboard.validate_requirements()

tests/integ/test_factorization_machines.py

@@ -59,7 +59,7 @@ def test_factorization_machines():
 def test_async_factorization_machines():
 
     training_job_name = ""
-    endpoint_name = name_from_base('factorization_machines')
+    endpoint_name = name_from_base('factorizationMachines')
     sagemaker_session = sagemaker.Session(boto_session=boto3.Session(region_name=REGION))
 
     with timeout(minutes=5):

tests/integ/test_pca.py

@@ -63,7 +63,7 @@ def test_pca():
 def test_async_pca():
 
     training_job_name = ""
-    endpoint_name = name_from_base('async_pca')
+    endpoint_name = name_from_base('pca')
     sagemaker_session = sagemaker.Session(boto_session=boto3.Session(region_name=REGION))
 
     with timeout(minutes=20):