h2o import file error

[shantanuo]

I am not able to run this line...

higgs = h2o.import_file('higgs_boston_train.csv')

Getting this error:

---

H2OResponseError Traceback (most recent call last)

in ----> 1 higgs = h2o.import_file('higgs_boston_train.csv') /opt/conda/lib/python3.7/site-packages/h2o/h2o.py in import_file(path, destination_frame, parse, header, sep, col_names, col_types, na_strings, pattern, skipped_columns, custom_non_data_line_markers) 434 else: 435 return H2OFrame()._import_parse(path, pattern, destination_frame, header, sep, col_names, col_types, na_strings, --> 436 skipped_columns, custom_non_data_line_markers) 437 438 /opt/conda/lib/python3.7/site-packages/h2o/frame.py in _import_parse(self, path, pattern, destination_frame, header, separator, column_names, column_types, na_strings, skipped_columns, custom_non_data_line_markers) 334 if H2OFrame.__LOCAL_EXPANSION_ON_SINGLE_IMPORT__ and is_type(path, str) and "://" not in path: # fixme: delete those 2 lines, cf. PUBDEV-5717 335 path = os.path.abspath(path) --> 336 rawkey = h2o.lazy_import(path, pattern) 337 self._parse(rawkey, destination_frame, header, separator, column_names, column_types, na_strings, 338 skipped_columns, custom_non_data_line_markers) /opt/conda/lib/python3.7/site-packages/h2o/h2o.py in lazy_import(path, pattern) 296 assert_is_type(pattern, str, None) 297 paths = [path] if is_type(path, str) else path --> 298 return _import_multi(paths, pattern) 299 300 /opt/conda/lib/python3.7/site-packages/h2o/h2o.py in _import_multi(paths, pattern) 302 assert_is_type(paths, [str]) 303 assert_is_type(pattern, str, None) --> 304 j = api("POST /3/ImportFilesMulti", {"paths": paths, "pattern": pattern}) 305 if j["fails"]: raise ValueError("ImportFiles of '" + ".".join(paths) + "' failed on " + str(j["fails"])) 306 return j["destination_frames"] /opt/conda/lib/python3.7/site-packages/h2o/h2o.py in api(endpoint, data, json, filename, save_to) 102 # type checks are performed in H2OConnection class 103 _check_connection() --> 104 return h2oconn.request(endpoint, data=data, json=json, filename=filename, save_to=save_to) 105 106 /opt/conda/lib/python3.7/site-packages/h2o/backend/connection.py in request(self, endpoint, data, json, filename, save_to) 405 auth=self._auth, verify=self._verify_ssl_cert, proxies=self._proxies) 406 self._log_end_transaction(start_time, resp) --> 407 return self._process_response(resp, save_to) 408 409 except (requests.exceptions.ConnectionError, requests.exceptions.HTTPError) as e: /opt/conda/lib/python3.7/site-packages/h2o/backend/connection.py in _process_response(response, save_to) 741 # Client errors (400 = "Bad Request", 404 = "Not Found", 412 = "Precondition Failed") 742 if status_code in {400, 404, 412} and isinstance(data, (H2OErrorV3, H2OModelBuilderErrorV3)): --> 743 raise H2OResponseError(data) 744 745 # Server errors (notably 500 = "Server Error") H2OResponseError: Server error water.exceptions.H2ONotFoundArgumentException: Error: File /tmp/Machine-Learning-with-Python/higgs_boston_train.csv does not exist Request: POST /3/ImportFilesMulti data: {'paths': '[/tmp/Machine-Learning-with-Python/higgs_boston_train.csv]'}