Add a function to predict a value from a csv file. Part2 #260
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@gieljnssns congrats on pulling all these merges off. There really has been a lot changed since you initially released this PR. I'm impressed. |
mlregressor, add web buttons for mlregressor, add some suggestions
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Hi @gieljnssns, is this ready to merge? Other than the needed conflict solve? |
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| optim_conf["def_end_timestep"] = runtimeparams["def_end_timestep"] | ||
| if "treat_def_as_semi_cont" in runtimeparams.keys(): | ||
| optim_conf["treat_def_as_semi_cont"] = [ | ||
| eval(str(k).capitalize()) |
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Code scanning / CodeQL
Code injection Critical
| ] | ||
| if "set_def_constant" in runtimeparams.keys(): | ||
| optim_conf["set_def_constant"] = [ | ||
| eval(str(k).capitalize()) for k in runtimeparams["set_def_constant"] |
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Code scanning / CodeQL
Code injection Critical
| perform_backtest = eval(str(runtimeparams['perform_backtest']).capitalize()) | ||
| params['passed_data']['perform_backtest'] = perform_backtest | ||
| if 'model_predict_publish' not in runtimeparams.keys(): | ||
| perform_backtest = eval(str(runtimeparams["perform_backtest"]).capitalize()) |
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Code scanning / CodeQL
Code injection Critical
| params['passed_data']['model_predict_publish'] = model_predict_publish | ||
| if 'model_predict_entity_id' not in runtimeparams.keys(): | ||
| model_predict_publish = eval( | ||
| str(runtimeparams["model_predict_publish"]).capitalize() |
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Code scanning / CodeQL
Code injection Critical
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Yes, I think so |
#147