update samples from Release-76 as a part of SDK release

Update README.md

how-to-use-azureml/machine-learning-pipelines/nyc-taxi-data-regression-model-building/nyc-taxi-data-regression-model-building.ipynb

@@ -460,8 +460,8 @@
         "    name=\"Merge Taxi Data\",\n",
         "    script_name=\"merge.py\", \n",
         "    arguments=[\"--output_merge\", merged_data],\n",
-        "    inputs=[cleansed_green_data.parse_parquet_files(file_extension=None),\n",
-        "            cleansed_yellow_data.parse_parquet_files(file_extension=None)],\n",
+        "    inputs=[cleansed_green_data.parse_parquet_files(),\n",
+        "            cleansed_yellow_data.parse_parquet_files()],\n",
         "    outputs=[merged_data],\n",
         "    compute_target=aml_compute,\n",
         "    runconfig=aml_run_config,\n",
@@ -497,7 +497,7 @@
         "    name=\"Filter Taxi Data\",\n",
         "    script_name=\"filter.py\", \n",
         "    arguments=[\"--output_filter\", filtered_data],\n",
-        "    inputs=[merged_data.parse_parquet_files(file_extension=None)],\n",
+        "    inputs=[merged_data.parse_parquet_files()],\n",
         "    outputs=[filtered_data],\n",
         "    compute_target=aml_compute,\n",
         "    runconfig = aml_run_config,\n",
@@ -533,7 +533,7 @@
         "    name=\"Normalize Taxi Data\",\n",
         "    script_name=\"normalize.py\", \n",
         "    arguments=[\"--output_normalize\", normalized_data],\n",
-        "    inputs=[filtered_data.parse_parquet_files(file_extension=None)],\n",
+        "    inputs=[filtered_data.parse_parquet_files()],\n",
         "    outputs=[normalized_data],\n",
         "    compute_target=aml_compute,\n",
         "    runconfig = aml_run_config,\n",
@@ -574,7 +574,7 @@
         "    name=\"Transform Taxi Data\",\n",
         "    script_name=\"transform.py\", \n",
         "    arguments=[\"--output_transform\", transformed_data],\n",
-        "    inputs=[normalized_data.parse_parquet_files(file_extension=None)],\n",
+        "    inputs=[normalized_data.parse_parquet_files()],\n",
         "    outputs=[transformed_data],\n",
         "    compute_target=aml_compute,\n",
         "    runconfig = aml_run_config,\n",
@@ -614,7 +614,7 @@
         "    script_name=\"train_test_split.py\", \n",
         "    arguments=[\"--output_split_train\", output_split_train,\n",
         "               \"--output_split_test\", output_split_test],\n",
-        "    inputs=[transformed_data.parse_parquet_files(file_extension=None)],\n",
+        "    inputs=[transformed_data.parse_parquet_files()],\n",
         "    outputs=[output_split_train, output_split_test],\n",
         "    compute_target=aml_compute,\n",
         "    runconfig = aml_run_config,\n",
@@ -690,7 +690,7 @@
         "    \"n_cross_validations\": 5\n",
         "}\n",
         "\n",
-        "training_dataset = output_split_train.parse_parquet_files(file_extension=None).keep_columns(['pickup_weekday','pickup_hour', 'distance','passengers', 'vendor', 'cost'])\n",
+        "training_dataset = output_split_train.parse_parquet_files().keep_columns(['pickup_weekday','pickup_hour', 'distance','passengers', 'vendor', 'cost'])\n",
         "\n",
         "automl_config = AutoMLConfig(task = 'regression',\n",
         "                             debug_log = 'automated_ml_errors.log',\n",