fxsjy/gonn

GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN

gonn's Issues

How to read the multi-layer perceptrons model in Golang written using python

I am using the wrapper of scikit-learn Multilayer Perceptron in Python https://github.com/aigamedev/scikit-neuralnetwork to train the neural network and save it to a file. Now, I want to expose it on production to predict in real time. So, I was thinking to use Golang for better concurrency than Python. Hence, my question is whether can we read the model using this library written using Python or above wrapper? The code below I am using for training the model and last three lines I want to port to GOLang to expose it on production

import pickle
import numpy as np
import pandas as pd
from sknn.mlp import Classifier, Layer
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score

f = open("TrainLSDataset.csv")
data = np.loadtxt(f,delimiter = ',')

x = data[:, 1:]
y = data[:, 0]
X_train, X_test, y_train, y_test = train_test_split(x, y, test_size=0.3)

nn = Classifier(
    layers=[            	    
        Layer("Rectifier", units=5),
        Layer("Softmax")],
    learning_rate=0.001,
    n_iter=100)

nn.fit(X_train, y_train)
filename = 'finalized_model.txt'
pickle.dump(nn, open(filename, 'wb'))

**#Below code i want to write in GoLang for exposing it on Production** :
loaded_model = pickle.load(open(filename, 'rb'))
result = loaded_model.score(X_test, y_test)
y_pred = loaded_model.predict(X_test)

test

How to save the trained neural network?

Question about channels / go-routines

Cool project :)

Just wondering: So, you are not using any go-routines or channels, to do the threading (didn't see any, in my very brief look)?

I have been testing a bit with how to speedup stuff that passes around strings between threads, and found it very useful to set up the size for the buffers in the channels ... to something like 512 items etc ...

(I wrote up a bit about my experiment here: http://saml.rilspace.org/go-speedup-with-threading-for-line-by-line-string-processing ... and the threaded code is here: https://gist.github.com/samuell/5829991 )

Also, I heard that it is adviseable to set runtime.GOMAXPROCS to number of cores - 1, as a rule of thumb (maybe you do that already, so just saying, just in case) ...