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_doc/examples/plot_benchmark_rf.py

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@@ -22,8 +22,6 @@
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import numpy
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import pandas
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from lightgbm import LGBMRegressor
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from onnxmltools.convert.lightgbm.operator_converters.LightGbm import convert_lightgbm
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from onnxmltools.convert.xgboost.operator_converters.XGBoost import convert_xgboost
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from onnxruntime import InferenceSession, SessionOptions
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from psutil import cpu_count
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from sphinx_runpython.runpython import run_cmd
@@ -33,9 +31,14 @@
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from sklearn.ensemble import RandomForestRegressor
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from tqdm import tqdm
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from xgboost import XGBRegressor
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from onnxmltools.convert.xgboost.operator_converters.XGBoost import convert_xgboost
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def skl2onnx_convert_lightgbm(scope, operator, container):
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from onnxmltools.convert.lightgbm.operator_converters.LightGbm import (
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convert_lightgbm,
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)
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options = scope.get_options(operator.raw_operator)
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if "split" in options:
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operator.split = options["split"]

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