8968646a38f0704029f699a50ef5ce4c87012655,examples/runner_example.py,,runner_example,#Any#Any#,13

Before Change

    m2 = {"model": nx.extratrees(), "prediction_file": "extratrees.pred"}
    m3 = {"model": nx.randomforest(), "prediction_file": "randomforest.pred"}
    m4 = {"model": nx.mlpc(), "prediction_file": "mlpc.pred"}
    m5 = {"model": nx.logisticPCA(), "prediction_file": "logisticPCA.pred"}
    run_list = [m1, m2, m3, m4, m5]

    // run all models and save results
    runner = nx.Runner(run_list, splitter, save_dir, verbosity=1)
    runner.run()

    // Alternatively:
    //

After Change

    report["logistic"] = nx.backtest(nx.logistic(), data, verbosity=1)
    report["extratrees"] = nx.backtest(nx.extratrees(), data, verbosity=1)
    report["randomforest"] = nx.backtest(nx.randomforest(), data, verbosity=1)
    report["mlpc"] = nx.backtest(nx.mlpc(), data, verbosity=1)
    report["logisticPCA"] = nx.backtest(nx.logisticPCA(), data, verbosity=1)

    // correlation of models with logistic regression
    print("\nCorrelation:\n")

Instances