module `onnxrt.ops_cpu.op_svm_classifier_`#

Short summary#

module mlprodict.onnxrt.ops_cpu.op_svm_classifier_

Implements runtime for operator SVMClassifier. The code is inspired from svm_classifier.cc in onnxruntime.

class	truncated documentation
`RuntimeSVMClassifierDouble`	Implements runtime for operator SVMClassifierDouble. The code is inspired from svm_classifier.cc …
`RuntimeSVMClassifierFloat`	Implements runtime for operator SVMClassifier. The code is inspired from svm_classifier.cc …

Implements runtime for operator SVMClassifier. The code is inspired from svm_classifier.cc in onnxruntime.

class mlprodict.onnxrt.ops_cpu.op_svm_classifier_.RuntimeSVMClassifierDouble(self: mlprodict.onnxrt.ops_cpu.op_svm_classifier_.RuntimeSVMClassifierDouble, arg0: int)#

Bases: pybind11_object

Implements runtime for operator SVMClassifierDouble. The code is inspired from svm_classifier.cc in onnxruntime.

Parameters:: omp_N – number of observations above which it gets parallelized.

__init__(self: mlprodict.onnxrt.ops_cpu.op_svm_classifier_.RuntimeSVMClassifierDouble, arg0: int) → None#

compute(self: mlprodict.onnxrt.ops_cpu.op_svm_classifier_.RuntimeSVMClassifierDouble, arg0: numpy.ndarray[numpy.float64]) → tuple#: Computes the predictions for the SVM classifier.

init(self: mlprodict.onnxrt.ops_cpu.op_svm_classifier_.RuntimeSVMClassifierDouble, arg0: numpy.ndarray[numpy.int64], arg1: List[str], arg2: numpy.ndarray[numpy.float64], arg3: numpy.ndarray[numpy.float64], arg4: str, arg5: str, arg6: numpy.ndarray[numpy.float64], arg7: numpy.ndarray[numpy.float64], arg8: numpy.ndarray[numpy.float64], arg9: numpy.ndarray[numpy.float64], arg10: numpy.ndarray[numpy.int64]) → None#: Initializes the runtime with the ONNX attributes in alphabetical order.

omp_get_max_threads(self: mlprodict.onnxrt.ops_cpu.op_svm_classifier_.RuntimeSVMClassifierDouble) → int#: Returns omp_get_max_threads from openmp library.

runtime_options(self: mlprodict.onnxrt.ops_cpu.op_svm_classifier_.RuntimeSVMClassifierDouble) → str#: Returns indications about how the runtime was compiled.

class mlprodict.onnxrt.ops_cpu.op_svm_classifier_.RuntimeSVMClassifierFloat(self: mlprodict.onnxrt.ops_cpu.op_svm_classifier_.RuntimeSVMClassifierFloat, arg0: int)#

Bases: pybind11_object

Implements runtime for operator SVMClassifier. The code is inspired from svm_classifier.cc in onnxruntime.

Parameters:: omp_N – number of observations above which it gets parallelized.

__init__(self: mlprodict.onnxrt.ops_cpu.op_svm_classifier_.RuntimeSVMClassifierFloat, arg0: int) → None#

compute(self: mlprodict.onnxrt.ops_cpu.op_svm_classifier_.RuntimeSVMClassifierFloat, arg0: numpy.ndarray[numpy.float32]) → tuple#: Computes the predictions for the SVM classifier.

init(self: mlprodict.onnxrt.ops_cpu.op_svm_classifier_.RuntimeSVMClassifierFloat, arg0: numpy.ndarray[numpy.int64], arg1: List[str], arg2: numpy.ndarray[numpy.float32], arg3: numpy.ndarray[numpy.float32], arg4: str, arg5: str, arg6: numpy.ndarray[numpy.float32], arg7: numpy.ndarray[numpy.float32], arg8: numpy.ndarray[numpy.float32], arg9: numpy.ndarray[numpy.float32], arg10: numpy.ndarray[numpy.int64]) → None#: Initializes the runtime with the ONNX attributes in alphabetical order.

omp_get_max_threads(self: mlprodict.onnxrt.ops_cpu.op_svm_classifier_.RuntimeSVMClassifierFloat) → int#: Returns omp_get_max_threads from openmp library.

runtime_options(self: mlprodict.onnxrt.ops_cpu.op_svm_classifier_.RuntimeSVMClassifierFloat) → str#: Returns indications about how the runtime was compiled.