7a7d0e7b35cbee6b3409ac30ff4bf4edfe525af2,alphapy/plots.py,,plot_confusion_matrix,#Any#Any#,593

Before Change

        // labels
        plt.tight_layout()
        plt.ylabel("True Label")
        plt.xlabel("Predicted Label")
        // save the chart
        tag = USEP.join([pstring, algo])
        write_plot("matplotlib", plt, "confusion", tag, plot_dir)

After Change

        // loop over data dimensions and create text annotations
        thresh = (cm.max() + cm.min()) / 2.0
        for i in range(cm.shape[0]):
            for j in range(cm.shape[1]):
                ax.text(j, i, format(cm[i, j], fmt),
                        ha="center", va="center",
                        color="white" if cm[i, j] > thresh else "black")

        // show the color bar
        im = ax.imshow(cm, interpolation="nearest", cmap=cmap)
        ax.figure.colorbar(im, ax=ax)

        // save the chart

Instances