Skip to content

Instantly share code, notes, and snippets.

Avatar

Deepak Sadulla dsadulla

  • Convergytics
  • Bangalore, India
View GitHub Profile
View vif_fun.r
vif_func<-function(in_frame,thresh=10,trace=T,...){
library(fmsb)
if(any(!'data.frame' %in% class(in_frame))) in_frame<-data.frame(in_frame)
#get initial vif value for all comparisons of variables
vif_init<-NULL
var_names <- names(in_frame)
for(val in var_names){
View LilLambda.ipynb
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
@dsadulla
dsadulla / timeseries_cnn.py
Created Aug 21, 2017 — forked from jkleint/timeseries_cnn.py
Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.
View timeseries_cnn.py
#!/usr/bin/env python
"""
Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.
"""
from __future__ import print_function, division
import numpy as np
from keras.layers import Convolution1D, Dense, MaxPooling1D, Flatten
from keras.models import Sequential