module `onnxrt.ops_cpu.op_svm_regressor_`#

Short summary#

module mlprodict.onnxrt.ops_cpu.op_svm_regressor_

Implements runtime for operator SVMRegressor. The code is inspired from svm_regressor.cc in onnxruntime.

class	truncated documentation
`RuntimeSVMRegressorDouble`	Implements Double runtime for operator SVMRegressor. The code is inspired from svm_regressor.cc …
`RuntimeSVMRegressorFloat`	Implements float runtime for operator SVMRegressor. The code is inspired from svm_regressor.cc …

Implements runtime for operator SVMRegressor. The code is inspired from svm_regressor.cc in onnxruntime.

class mlprodict.onnxrt.ops_cpu.op_svm_regressor_.RuntimeSVMRegressorDouble(self: mlprodict.onnxrt.ops_cpu.op_svm_regressor_.RuntimeSVMRegressorDouble, arg0: int)#

Bases: pybind11_object

Implements Double runtime for operator SVMRegressor. The code is inspired from svm_regressor.cc in onnxruntime.

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

__init__(self: mlprodict.onnxrt.ops_cpu.op_svm_regressor_.RuntimeSVMRegressorDouble, arg0: int) → None#

compute(self: mlprodict.onnxrt.ops_cpu.op_svm_regressor_.RuntimeSVMRegressorDouble, arg0: numpy.ndarray[numpy.float64]) → numpy.ndarray[numpy.float64]#: Computes the predictions for the SVM regressor.

init(self: mlprodict.onnxrt.ops_cpu.op_svm_regressor_.RuntimeSVMRegressorDouble, arg0: numpy.ndarray[numpy.float64], arg1: numpy.ndarray[numpy.float64], arg2: str, arg3: int, arg4: int, arg5: str, arg6: numpy.ndarray[numpy.float64], arg7: numpy.ndarray[numpy.float64]) → None#: Initializes the runtime with the ONNX attributes in alphabetical order.

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

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

class mlprodict.onnxrt.ops_cpu.op_svm_regressor_.RuntimeSVMRegressorFloat(self: mlprodict.onnxrt.ops_cpu.op_svm_regressor_.RuntimeSVMRegressorFloat, arg0: int)#

Bases: pybind11_object

Implements float runtime for operator SVMRegressor. The code is inspired from svm_regressor.cc in onnxruntime.

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

__init__(self: mlprodict.onnxrt.ops_cpu.op_svm_regressor_.RuntimeSVMRegressorFloat, arg0: int) → None#

compute(self: mlprodict.onnxrt.ops_cpu.op_svm_regressor_.RuntimeSVMRegressorFloat, arg0: numpy.ndarray[numpy.float32]) → numpy.ndarray[numpy.float32]#: Computes the predictions for the SVM regressor.

init(self: mlprodict.onnxrt.ops_cpu.op_svm_regressor_.RuntimeSVMRegressorFloat, arg0: numpy.ndarray[numpy.float32], arg1: numpy.ndarray[numpy.float32], arg2: str, arg3: int, arg4: int, arg5: str, arg6: numpy.ndarray[numpy.float32], arg7: numpy.ndarray[numpy.float32]) → None#: Initializes the runtime with the ONNX attributes in alphabetical order.

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

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