module `onnxrt.ops_cpu.op_zipmap`#

Short summary#

module mlprodict.onnxrt.ops_cpu.op_zipmap

Runtime operator.

Classes#

class	truncated documentation
`ArrayZipMapDictionary`	Mocks an array without changing the data it receives. Notebooks Time processing for every ONNX nodes in a graph illustrates the weaknesses …
`ZipMap`	The class does not output a dictionary as specified in ONNX specifications but a `ArrayZipMapDictionary` …
`ZipMapDictionary`	Custom dictionary class much faster for this runtime, it implements a subset of the same methods.

Properties#

property	truncated documentation
`args_default`	Returns the list of arguments as well as the list of parameters with the default values (close to the signature). …
`args_default_modified`	Returns the list of modified parameters.
`args_mandatory`	Returns the list of optional arguments.
`args_optional`	Returns the list of optional arguments.
`atts_value`	Returns all parameters in a dictionary.
`columns`	Equivalent to `DataFrame(self).columns`.
`dtype`
`is_zip_map`
`values`	Equivalent to `DataFrame(self).values`.

Static Methods#

staticmethod	truncated documentation
`build_rev_keys`

Methods#

method	truncated documentation
`__contains__`
`__getitem__`
`__getitem__`	Returns the item mapped to keys.
`__getstate__`	For pickle.
`__init__`
`__init__`
`__init__`
`__iter__`
`__iter__`
`__len__`
`__len__`	Returns the number of items.
`__setitem__`
`__setitem__`	unused but used by pickle
`__setstate__`	For pickle.
`__str__`
`__str__`
`_run`
`asdict`
`items`
`keys`
`values`

Documentation#

Runtime operator.

source on GitHub

class mlprodict.onnxrt.ops_cpu.op_zipmap.ArrayZipMapDictionary(rev_keys, mat)#

Bases: list

Mocks an array without changing the data it receives. Notebooks Time processing for every ONNX nodes in a graph illustrates the weaknesses and the strengths of this class compare to a list of dictionaries.

source on GitHub

Parameters:

rev_keys – dictionary {keys: column index}
mat – matrix if values is a row index, one or two dimensions

source on GitHub

__getitem__(i)#: x.__getitem__(y) <==> x[y]

__init__(rev_keys, mat)#

Parameters:

rev_keys – dictionary {keys: column index}
mat – matrix if values is a row index, one or two dimensions

source on GitHub

__iter__()#: Implement iter(self).

__len__()#: Return len(self).

__setitem__(pos, value)#: Set self[key] to value.

__str__()#: Return str(self).

property columns#

Equivalent to DataFrame(self).columns.

source on GitHub

property values#

Equivalent to DataFrame(self).values.

source on GitHub

class mlprodict.onnxrt.ops_cpu.op_zipmap.ZipMap(onnx_node, desc=None, **options)#

Bases: OpRun

The class does not output a dictionary as specified in ONNX specifications but a ArrayZipMapDictionary which is wrapper on the input so that it does not get copied.

source on GitHub