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ONNXMLTools enables conversion of models to ONNX

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There was an error when I tried to import convert_lightgbm. See code below: ``` import lightgbm import onnxmltools import onnx import os print("onnx: ", onnx.__version__) print("onnxmltools: ", onnxmltools.__version__) print("lightgbm: ",...

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WIP
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I am trying to convert a save pyspark pipeline consisting of simple assembler and linear regression model and I ran into ValueError: No proper operator name found for '' Stacktrace...

better error message

Hello everyone! I am trying to convert an instance of HashingTF sparkml transformer. When I invoke convert_sparkml function I get an error that says that 'pyspark.ml.feature.HashingTF' is not supported. I...

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WARNING:root:scikit-learn version 0.24.0 is not supported. Minimum required version: 0.17. Maximum required version: 0.19.2. Disabling scikit-learn conversion API. Traceback (most recent call last): File "convert_to_onnx.py", line 2, in from winmltools...

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when I use convert_lightgbm to transform model to onnx ,there has error: ValueError: You passed in an iterable attribute but I cannot figure out its applicable type, key='nodes_values', When I...

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I fail trying to convert [this model](https://github.com/PINTO0309/PINTO_model_zoo/tree/main/058_BlazePose_Full_Keypoints/01_Accurate/08_coreml) to onnx. on WSL, py3.5.3, onnxmltools 1.7.0 I get `ValueError: Unsupported shape calculation for operator loadConstantND` With win10, py3.7.2 onnxmltools 1.7.0 I get...

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**Description** When I used convert_lightgbm, I got a graph: which includes a probabilities map type (for example, [{0: 0.9, 1: 0.1}, {0: 0.2, 1: 0.8}]) that is not supported by...

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Hi, I ran into an issue with xgboost model conversion and want to post the symptom here. It happened when I attempted to convert a model trained on features stored...

bug

Hello I'm trying to convert coreml weights to winml and it seems resizeBilinear is not supported. Is there any plans to add support for that?

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Hi Guys, I'm facing some issue in converting allennlp model to onnx format as I'm new to onnx need some help to solve this issue

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