I've converting my website to PHP from just static HTML. In the process, my PHP Index file is pulling old information from an unknown source Here is the specific problem. When I add a paragraph tag to my div id="main" section, I get "Get the Management Certification you need to make the next step in your career!" which isn't in my PHP file. When I inspect in Google Chrome, this is some how appears there
Schedule Training and Testing Script in Python
I have this simple RandomForest Regression Model which does training and testing and then prints the predictions and model accuracy. I want to write a python automated script for scheduling this code which will do training once every month and testing once every week automatically.
How can I retrieve the result of a trained model with Kubeflow Fairing?
I am using Kubeflow fairing to train a TensorFlow model on Kubernetes. The training succeeds but now I want to serve a prediction endpoint.
How can I retrieve the saved TensorFlow session from the training step so that I can do this? At the moment the result of the training step is saved inside the Docker container running on the Kubernetes cluster.
training/validation/test sets in python for regression
I want to split my data in 3 partitions training, validation and test: 70% training, 15% validation and 15% test for regression. Python provides a way to do that only for training and testing by cross_validation.train_test_split. Any Ideas?
Python Training dataset
import numpy as np
import scipy.io.wavfile
from scikits.talkbox.features import mfcc
sr1,x1=scipy.io.wavfile.read("filename.wav")
ceps1,mspec1,spec1=mfcc(x1)
I can obtain MFCC values as above. Now, I have 100 songs with 2 different music genres(electronic,jazz). And, I want to create a dataset with using these songs. I suppose I will use numpy arrays to design that dataset. How can I create that dataset and put them label(electronic or jazz)? I am using python2.7 on ubuntu