mesquita

from matplotlib.ticker import PercentFormatter
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.metrics import confusion_matrix

def cm_analysis(y_true, y_pred, filename, labels, classes, ymap=None, figsize=(17,17)):
    """
    Generate matrix plot of confusion matrix with pretty annotations.
    The plot image is saved to disk.
    args: 

mesquita

def set_plot_props(font_size: int = 14):
    """This function sets some plot configurations for the matplotlib."""
    plt.rcParams["axes.prop_cycle"] = cycler("color", plt.get_cmap("tab10").colors)
    plt.rcParams["figure.dpi"] = 150
    plt.rcParams["savefig.dpi"] = 300
    plt.rcParams["lines.linewidth"] = 2.5
    plt.rcParams["font.size"] = font_size