git clone git@github.com:YOUR-USERNAME/YOUR-FORKED-REPO.git
cd into/cloned/fork-repo
git remote add upstream git://github.com/ORIGINAL-DEV-USERNAME/REPO-YOU-FORKED-FROM.git
git fetch upstream
To colaborate on a gist:
git remote add-url cindy https://gist.github.com/cindy/df03bdacaef75a80f310
git fetch cindy/master
git merge cindy/master
git push origin/master
from scipy.cluster.hierarchy import dendrogram, linkage | |
import sys | |
import matplotlib | |
matplotlib.use("Qt5Agg") | |
import numpy as np | |
from numpy import arange, sin, pi | |
from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar | |
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas | |
from matplotlib.figure import Figure | |
from matplotlib import pyplot as plt |
import numpy as np | |
import pandas as pd | |
from sklearn import datasets, linear_model | |
def metrics(m,X,y): | |
yhat = m.predict(X) | |
print(yhat) | |
SS_Residual = sum((y-yhat)**2) | |
SS_Total = sum((y-np.mean(y))**2) | |
r_squared = 1 - (float(SS_Residual))/SS_Total |
from sklearn import metrics | |
import numpy as np | |
y_true = np.concatenate((np.ones(100), np.zeros(900))) | |
a = np.random.uniform(0.5,1, 5) | |
b = np.random.uniform(0,0.5, 995) | |
y_pred1 = np.concatenate((a,b)) | |
a = np.random.uniform(0.5,1, 90) |