TypeError: argument of type 'method' is not iterable

[ludomare]

Hi,
I try autoxgb but very quickly it returns that error:

2022-03-08 09:22:21.269 | INFO | autoxgb.autoxgb:post_init:42 - Output directory: output2
2022-03-08 09:22:21.276 | WARNING | autoxgb.autoxgb:post_init:49 - No id column specified. Will default to id.
2022-03-08 09:22:21.283 | INFO | autoxgb.autoxgb:_process_data:149 - Reading training data

TypeError Traceback (most recent call last)
in ()
37 fast=fast,
38 )
---> 39 axgb.train()
10 frames
/usr/local/lib/python3.7/dist-packages/autoxgb/autoxgb.py in train(self)
244
245 def train(self):
--> 246 self._process_data()
247 best_params = train_model(self.model_config)
248 logger.info("Training complete")

/usr/local/lib/python3.7/dist-packages/autoxgb/autoxgb.py in _process_data(self)
148 def _process_data(self):
149 logger.info("Reading training data")
--> 150 train_df = pd.read_csv(self.train_filename)
151 train_df = reduce_memory_usage(train_df)
152 problem_type = self._determine_problem_type(train_df)

/usr/local/lib/python3.7/dist-packages/pandas/util/_decorators.py in wrapper(*args, **kwargs)
309 stacklevel=stacklevel,
310 )
--> 311 return func(*args, **kwargs)
312
313 return wrapper

/usr/local/lib/python3.7/dist-packages/pandas/io/parsers/readers.py in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, error_bad_lines, warn_bad_lines, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)
584 kwds.update(kwds_defaults)
585
--> 586 return _read(filepath_or_buffer, kwds)
587
588

/usr/local/lib/python3.7/dist-packages/pandas/io/parsers/readers.py in _read(filepath_or_buffer, kwds)
480
481 # Create the parser.
--> 482 parser = TextFileReader(filepath_or_buffer, **kwds)
483
484 if chunksize or iterator:

/usr/local/lib/python3.7/dist-packages/pandas/io/parsers/readers.py in init(self, f, engine, **kwds)
809 self.options["has_index_names"] = kwds["has_index_names"]
810
--> 811 self._engine = self._make_engine(self.engine)
812
813 def close(self):

/usr/local/lib/python3.7/dist-packages/pandas/io/parsers/readers.py in _make_engine(self, engine)
1038 )
1039 # error: Too many arguments for "ParserBase"
-> 1040 return mapping[engine](self.f, **self.options) # type: ignore[call-arg]
1041
1042 def _failover_to_python(self):

/usr/local/lib/python3.7/dist-packages/pandas/io/parsers/c_parser_wrapper.py in init(self, src, **kwds)
49
50 # open handles
---> 51 self._open_handles(src, kwds)
52 assert self.handles is not None
53

/usr/local/lib/python3.7/dist-packages/pandas/io/parsers/base_parser.py in _open_handles(self, src, kwds)
227 memory_map=kwds.get("memory_map", False),
228 storage_options=kwds.get("storage_options", None),
--> 229 errors=kwds.get("encoding_errors", "strict"),
230 )
231

/usr/local/lib/python3.7/dist-packages/pandas/io/common.py in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)
583
584 # read_csv does not know whether the buffer is opened in binary/text mode
--> 585 if _is_binary_mode(path_or_buf, mode) and "b" not in mode:
586 mode += "b"
587

/usr/local/lib/python3.7/dist-packages/pandas/io/common.py in _is_binary_mode(handle, mode)
960 # classes that expect bytes
961 binary_classes = (BufferedIOBase, RawIOBase)
--> 962 return isinstance(handle, binary_classes) or "b" in getattr(handle, "mode", mode)

TypeError: argument of type 'method' is not iterable

Don't know why..??? Thank you all for your help

My code:
from autoxgb import AutoXGB

required parameters:

train_filename = df.iloc[:round(df.shape[0]*.8)]
output = "output2"

optional parameters

test_filename = None
task = None
idx = df.index
targets = ["Goal"]
features = None
categorical_features = None
use_gpu = False
num_folds = 5
seed = 42
num_trials = 100
time_limit = 360
fast = False

Now its time to train the model!

axgb = AutoXGB(
train_filename=train_filename,
output=output,
test_filename=test_filename,
task=task,
idx=idx,
targets=targets,
features=features,
categorical_features=categorical_features,
use_gpu=use_gpu,
num_folds=num_folds,
seed=seed,
num_trials=num_trials,
time_limit=time_limit,
fast=fast,
)
axgb.train()

[xhulianoThe1]

Should be because the train_filename is of type str and represents the input path of the csv file. You passed in a dataframe instead so it threw this error.