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: 

enjalot

[ Launch Inlet ]Gist #4469595 [ Launch Inlet ]Gist #4466941 [ Launch Inlet ]Gist #4461697 [ Launch Inlet ]Gist #4461508 [ Launch Inlet ]Gist #4458395 [ Launch Inlet ]Gist #4452401 [ Launch Inlet ]Gist #4452384 Gist #4452367 Gist #445

dwskau

[ Launch Inlet ]Gist #4461508 [ Launch Inlet ]Gist #4458395 [ Launch Inlet ]Gist #4452401 [ Launch Inlet ]Gist #4452384 Gist #4452367 Gist #4450163 An inlet to tributary

zeffii

[ Launch Inlet ]Gist #4452401 [ Launch Inlet ]Gist #4452384 Gist #4452367 Gist #4450163 An inlet to tributary

mhermans

# Requirements
#sudo apt-get install libcurl4-gnutls-dev # for RCurl on linux
#install.packages('RCurl')
#install.packages('RJSONIO')

library('RCurl')
library('RJSONIO')

query <- function(querystring) {
  h = basicTextGatherer()