Remove train_data artifact tests (#596)

Author: convoliution

client/verta/tests/test_artifacts.py

@@ -351,25 +351,6 @@ def test_requirements(self, experiment_run):
 
         assert six.ensure_binary('\n'.join(new_requirements)) in experiment_run.get_artifact("requirements.txt").read()
 
-    def test_training_data(self, experiment_run):
-        pd = pytest.importorskip("pandas")
-
-        X = pd.DataFrame([[1, 1, 1],
-                          [1, 1, 1],
-                          [1, 1, 1]],
-                         columns=["1_1", "1_2", "1_3"])
-        y = pd.Series([1, 1, 1], name="1")
-        new_X = pd.DataFrame([[2, 2, 2],
-                              [2, 2, 2],
-                              [2, 2, 2]],
-                             columns=["2_1", "2_2", "2_3"])
-        new_y = pd.Series([2, 2, 2], name="2")
-
-        experiment_run.log_training_data(X, y)
-        experiment_run.log_training_data(new_X, new_y, overwrite=True)
-
-        assert pd.read_csv(experiment_run.get_artifact("train_data")).equals(new_X.join(new_y))
-
     def test_setup_script(self, experiment_run):
         setup_script = "import verta"
         new_setup_script = "import cloudpickle"

client/verta/tests/test_deployment.py

@@ -81,16 +81,6 @@ def test_reqs_on_disk(self, experiment_run, model_for_deployment, output_path):
         with open(requirements_file, 'r') as f:
             assert set(f.read().split()) <= set(retrieved_requirements.split())
 
-    def test_with_data(self, experiment_run, model_for_deployment):
-        """`train_features` and `train_targets` are joined into a single CSV"""
-        experiment_run.log_model_for_deployment(**model_for_deployment)
-
-        data_csv = experiment_run.get_artifact("train_data").read()
-
-        X_train = model_for_deployment['train_features']
-        y_train = model_for_deployment['train_targets']
-        assert X_train.join(y_train).to_csv(index=False) == six.ensure_str(data_csv)
-
 
 @pytest.mark.not_oss
 class TestLogModel:
@@ -563,22 +553,18 @@ def test_series(self, experiment_run, model_for_deployment):
         X_train = model_for_deployment['train_features']
         y_train = model_for_deployment['train_targets']
 
+        # no errors
         experiment_run.log_training_data(X_train, y_train)
 
-        data_csv = experiment_run.get_artifact("train_data").read()
-        assert X_train.join(y_train).to_csv(index=False) == six.ensure_str(data_csv)
-
     def test_dataframe(self, experiment_run, model_for_deployment):
         X_train = model_for_deployment['train_features']
         y_train = model_for_deployment['train_targets']
 
         y_train = y_train.to_frame()
 
+        # no errors
         experiment_run.log_training_data(X_train, y_train)
 
-        data_csv = experiment_run.get_artifact("train_data").read()
-        assert X_train.join(y_train).to_csv(index=False) == six.ensure_str(data_csv)
-
 
 class TestHistogram:
     @staticmethod