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Commits (2)
......@@ -21,8 +21,12 @@
"source": [
"## Links\n",
"\n",
"* [A Guide for Time Series Prediction Using Recurrent Neural Networks (LSTMs)](https://blog.statsbot.co/time-series-prediction-using-recurrent-neural-networks-lstms-807fa6ca7f)\n",
"* [A Noob’s Guide to Implementing RNN-LSTM Using Tensorflow](http://monik.in/a-noobs-guide-to-implementing-rnn-lstm-using-tensorflow/)\n",
"* [How (not) to use Machine Learning for time series forecasting: Avoiding the pitfalls](https://towardsdatascience.com/how-not-to-use-machine-learning-for-time-series-forecasting-avoiding-the-pitfalls-19f9d7adf424)\n",
"* [Introduction to Recurrent Networks in TensorFlow](https://danijar.com/introduction-to-recurrent-networks-in-tensorflow/)\n",
"* [Recurrent Neural Networks in Tensorflow I](https://r2rt.com/recurrent-neural-networks-in-tensorflow-i.html)\n",
"* [Recurrent Neural Networks in Tensorflow II](https://r2rt.com/recurrent-neural-networks-in-tensorflow-ii.html)\n",
"* [RNNs in Tensorflow, a Practical Guide and Undocumented Features](http://www.wildml.com/2016/08/rnns-in-tensorflow-a-practical-guide-and-undocumented-features/)\n",
"* [Time-Series Analysis Using Recurrent Neural Networks in Tensorflow](https://medium.com/themlblog/time-series-analysis-using-recurrent-neural-networks-in-tensorflow-2a0478b00be7)\n",
"* [Time Series Forecasting with the Long Short-Term Memory Network in Python](https://machinelearningmastery.com/time-series-forecasting-long-short-term-memory-network-python/)"
]
......@@ -109,8 +113,6 @@
"def split_data(series):\n",
" \"\"\"Split data into training and testing data.\"\"\"\n",
" \n",
" # TODO: Consider choosing a random subinterval. A sliding interval could be used to generate many\n",
" # training and testing dataset pairs.\n",
" fp_bound = 0.7 * len(series)\n",
" bound = int(math.floor(fp_bound))\n",
" \n",
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