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module `onnxrt.ops_cpu.op_feature_vectorizer`#

Short summary#

module mlprodict.onnxrt.ops_cpu.op_feature_vectorizer

Runtime operator.

source on GitHub

Classes#

class	truncated documentation
`FeatureVectorizer`	Very similar to `Concat`.

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.

Methods#

method	truncated documentation
`__init__`
`_infer_shapes`
`_infer_types`
`_preprocess`
`_run`

Documentation#

Runtime operator.

source on GitHub

class mlprodict.onnxrt.ops_cpu.op_feature_vectorizer.FeatureVectorizer(onnx_node, desc=None, **options)#

Bases: mlprodict.onnxrt.ops_cpu._op.OpRun

Very similar to Concat.

source on GitHub

Parameters

onnx_node – onnx node
desc – internal representation
expected_attributes – expected attributes for this node
options – runtime options

source on GitHub

__init__(onnx_node, desc=None, **options)#

Parameters

onnx_node – onnx node
desc – internal representation
expected_attributes – expected attributes for this node
options – runtime options

source on GitHub

_infer_shapes(*args)#

Should be overwritten.

source on GitHub

_infer_types(*args)#

Should be overwritten.

source on GitHub

_preprocess(a)#

_run(*args)#

Should be overwritten.

source on GitHub

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