<html><head></head><body><div style="color:#000; background-color:#fff; font-family:times new roman, new york, times, serif;font-size:13px"><div>Dear All,</div><div><br></div><div dir="ltr">I am trying to speed up the prediction of Random Forests. I've used compiledtress, which was useful, but since I have 6 models and once I've loaded all of them I got "Multiprocessing exception:" <br></div><div><br></div><div dir="ltr">here is my models in the code:<br></div><div><span style="background-color: rgb(173, 215, 115);">...</span>
</div><div dir="ltr" style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; -qt-user-state:0;"><span style="background-color: rgb(173, 215, 115);">model1=joblib.load('/models/model1.pkl'')</span></div><span style="background-color: rgb(173, 215, 115);"> </span><div dir="ltr" style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; -qt-user-state:0;"><span style="background-color: rgb(173, 215, 115);">model2=joblib.load('/models/model2.pkl')</span></div><span style="background-color: rgb(173, 215, 115);"> </span><div dir="ltr" style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; -qt-user-state:0;"><span style="background-color: rgb(173, 215, 115);">model3=joblib.load('/models/model3.pkl')</span></div><span style="background-color: rgb(173, 215, 115);"> </span><div id="yui_3_16_0_ym19_1_1470947012971_5617" dir="ltr" style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; -qt-user-state:0;"><span style="background-color: rgb(173, 215, 115);">model4=compiledtrees.CompiledRegressionPredictor(joblib.load('/models/model4.pkl'))</span></div><span style="background-color: rgb(173, 215, 115);"> </span><div id="yui_3_16_0_ym19_1_1470947012971_5618" dir="ltr" style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; -qt-user-state:0;"><span style="background-color: rgb(173, 215, 115);">model5=compiledtrees.CompiledRegressionPredictor(joblib.load('/models/model4.pkl'))</span></div><span style="background-color: rgb(173, 215, 115);"> </span><div dir="ltr" style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; -qt-user-state:0;"><span style="background-color: rgb(173, 215, 115);">model6=compiledtrees.CompiledRegressionPredictor(joblib.load('/models/model4.pkl'))</span></div><span style="background-color: rgb(173, 215, 115);"> </span><div style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; -qt-user-state:0;"><span style="background-color: rgb(173, 215, 115);"><br></span></div><div id="yui_3_16_0_ym19_1_1470947012971_5619" dir="ltr" style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; -qt-user-state:0;"><span style="background-color: rgb(173, 215, 115);">model1=compiledtrees.CompiledRegressionPredictor(model1)</span></div><span style="background-color: rgb(173, 215, 115);"> </span><div style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; -qt-user-state:0;"><span style="background-color: rgb(173, 215, 115);">model2=compiledtrees.CompiledRegressionPredictor(model2)</span></div><span style="background-color: rgb(173, 215, 115);"> </span><div id="yui_3_16_0_ym19_1_1470947012971_5616" dir="ltr" style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; -qt-user-state:0;"><span style="background-color: rgb(173, 215, 115);">model3=compiledtrees.CompiledRegressionPredictor(model3)</span></div><div id="yui_3_16_0_ym19_1_1470947012971_5434"><div id="yui_3_16_0_ym19_1_1470947012971_5436"><span style="background-color: rgb(173, 215, 115);">....</span></div><div id="yui_3_16_0_ym19_1_1470947012971_5437"><br></div><div id="yui_3_16_0_ym19_1_1470947012971_5439" dir="ltr">Now I'm trying to use<span id="yui_3_16_0_ym19_1_1470947012971_5438"> <span style="background-color: rgb(173, 215, 115);">MultiOutputRegressor(RandomForestRegressor())</span>,<span id="yui_3_16_0_ym19_1_1470947012971_5472"><span id="yui_3_16_0_ym19_1_1470947012971_5463"> however, I could not find any tool to do model selection, can anyone help me either to solve the first problem or the second one</span></span></span></div><div id="yui_3_16_0_ym19_1_1470947012971_5435" dir="ltr"><br></div><div id="yui_3_16_0_ym19_1_1470947012971_5433" dir="ltr">Best regards<br></div></div></div></body></html>