shandou

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shandou

from sklearn.metrics import roc_curve, roc_auc_score, auc
from scipy import stats
import matplotlib.pyplot as plt
# %matplotlib inline

def plot_roc_curve(y, y_pred, gini, ks):
    fpr, tpr, thresholds = roc_curve(y, y_pred)
    roc_auc = auc(fpr, tpr)

    fig = plt.figure()

shandou

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

1. Clarify and agree on the scope of the system

• User cases (description of sequences of events that, taken together, lead to a system doing something useful)
  • Who is going to use it?
  • How are they going to use it?