module onnxrt.ops_cpu.op_tfidfvectorizer_#

Short summary#

module mlprodict.onnxrt.ops_cpu.op_tfidfvectorizer_

Implements runtime for operator TfIdfVectorizer. The code is inspired from tfidfvectorizer.cc in onnxruntime.

source on GitHub

Classes#

class

truncated documentation

RuntimeTfIdfVectorizer

Implements runtime for operator TfIdfVectorizer. The code is inspired from tfidfvectorizer.cc …

Documentation#

Implements runtime for operator TfIdfVectorizer. The code is inspired from tfidfvectorizer.cc in onnxruntime.

class mlprodict.onnxrt.ops_cpu.op_tfidfvectorizer_.RuntimeTfIdfVectorizer(self: mlprodict.onnxrt.ops_cpu.op_tfidfvectorizer_.RuntimeTfIdfVectorizer)#

Bases: pybind11_object

Implements runtime for operator TfIdfVectorizer. The code is inspired from tfidfvectorizer.cc in onnxruntime. Supports Int only.

__init__(self: mlprodict.onnxrt.ops_cpu.op_tfidfvectorizer_.RuntimeTfIdfVectorizer) → None#
compute(self: mlprodict.onnxrt.ops_cpu.op_tfidfvectorizer_.RuntimeTfIdfVectorizer, arg0: numpy.ndarray[numpy.int64]) → numpy.ndarray[numpy.float32]#

Computes TfIdf.

init(self: mlprodict.onnxrt.ops_cpu.op_tfidfvectorizer_.RuntimeTfIdfVectorizer, arg0: int, arg1: int, arg2: int, arg3: str, arg4: List[int], arg5: List[int], arg6: List[int], arg7: List[float]) → None#

Initializes TfIdf.