Export NeurEco Classification model with the Python API#

By default, NeurEco saves models in its binary format .ednn.

A NeurEco embed license allows to export .ednn models to the following formats.

NeurEco Tabular export formats#
Format	Precision	Description
FMU	double	The Functional Mock-up Interface (or FMI) defines a standardized interface to be used in computer simulations to develop complex cyber-physical systems. More details are available at these pages: https://fmi-standard.org/, and https://en.wikipedia.org/wiki/Functional_Mock-up_Interface
ONNX	double, float, float16	The Open Neural Network Exchange (ONNX) is an open-source artificial intelligence ecosystem of technology companies and research organizations that establish open standards for representing machine learning algorithms and software tools to promote innovation and collaboration in the AI sector. More details are available at these pages: https://onnx.ai, and https://en.wikipedia.org/wiki/Open_Neural_Network_Exchange
C format	double or float	generates a header file containing a C representation of the neural network inside a single procedure.
VBA format	double or float	generates a visual basic macro representing the neural network for the use from Excel files.

build a Classification model (Build NeurEco Classification model with the Python API) or load an already saved one.

To export the model to the FMU format:

model.export_fmu(fmu_path)

exports a NeurEco model to FMU (Functional Mock-up Interface).

To export the model to the ONNX format:

model.export_onnx(onnx_file_path, precision="float")

exports a NeurEco Tabular model to a header file.

onnx_file_path: string, required: path where the onnx file will be saved
precision: string, optional, default=”float”: possible values: “float” or “double”, precision of the weights in the onnx file.
return: int, export_status: 0 if export is successful, other value if not

To export the model to the C format (header file):

model.export_c(h_file_path, precision="float")

exports a NeurEco Tabular model to a header file.

h_file_path: string, required, path where the .h file will be saved.
precision: string, optional, default=”float”: possible values: “float” or “double”, precision of the weights in the h file.
return: int, export_status: 0 if export is successful, other value if not

To export the model to the VBA format:

model.export_vba(vba_file_path, precision="float")

exports a NeurEco Tabular model to a VBA file.

vba_file_path: string, required, path where the vba file will be saved.
precision: string, optional, default=”float”: possible values: “float” or “double”, precision of the weights in the h file.
return: int, export_status: 0 if export is successful, other value if not

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