Traceback (most recent call last):



 "<ipython-input-43-9399f6fc5f8e>", line 1, in <module>

odo(data, pd.DataFrame)



 "C:\Miniconda3\lib\site-packages\odo\odo.py", line 91, in odo

return into(target, source, **kwargs)



 "C:\Miniconda3\lib\site-packages\multipledispatch\dispatcher.py", line 164, in __call__

return func(*args, **kwargs)



 "C:\Miniconda3\lib\site-packages\blaze\compute\core.py", line 372, in into

return into(a, b.data, **kwargs)



 "C:\Miniconda3\lib\site-packages\multipledispatch\dispatcher.py", line 164, in __call__

return func(*args, **kwargs)



 "C:\Miniconda3\lib\site-packages\odo\into.py", line 43, in wrapped

return f(*args, **kwargs)



 "C:\Miniconda3\lib\site-packages\odo\into.py", line 53, in into_type

return convert(a, b, dshape=dshape, **kwargs)



 "C:\Miniconda3\lib\site-packages\odo\core.py", line 83, in __call__

return _transform(self.graph, *args, **kwargs)



 "C:\Miniconda3\lib\site-packages\odo\core.py", line 106, in _transform

x = f(x, excluded_edges=excluded_edges, **kwargs)



 "C:\Miniconda3\lib\site-packages\odo\backends\sql.py", line 744, in select_or_selectable_to_frame

dtype=[(str(c), dtypes[c]) for c in columns]))

TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'

Traceback (most recent call last):


 "train.py", line 167, in <module>

tf.app.run()


 "/root/venv/lib/python3.5/site-packages/tensorflow/python/platform/app.py", line 124, in run

_sys.exit(main(argv))


 "train.py", line 163, in main

worker_job_name, is_chief, FLAGS.train_dir)


 "/root/git/models/research/object_detection/trainer.py", line 255, in train

train_config.optimizer)


 "/root/git/models/research/object_detection/builders/optimizer_builder.py", line 50, in build

learning_rate = _create_learning_rate(config.learning_rate)


 "/root/git/models/research/object_detection/builders/optimizer_builder.py", line 108, in _create_learning_rate

learning_rate_sequence)


 "/root/git/models/research/object_detection/utils/learning_schedules.py", line 153, in manual_stepping

tf.constant(range(num_boundaries), dtype=tf.int32),


 "/root/venv/lib/python3.5/site-packages/tensorflow/python/framework/constant_op.py", line 212, in constant

value, dtype=dtype, shape=shape, verify_shape=verify_shape))


 "/root/venv/lib/python3.5/site-packages/tensorflow/python/framework/tensor_util.py", line 413, in make_tensor_proto

_AssertCompatible(values, dtype)


 "/root/venv/lib/python3.5/site-packages/tensorflow/python/framework/tensor_util.py", line 328, in _AssertCompatible

(dtype.name, repr(mismatch), type(mismatch).__name__))
TypeError: Expected int32, got range(0, 3) of type 'range' instead.
