Unanswered Questions

9,082 questions with no upvoted or accepted answers
9
votes
0answers
188 views

Formal proof of vanilla policy gradient convergence

So I stumbled upon this question, where the author asks for a proof of vanilla policy gradient procedures. The answer provided points to some literature, but the formal proof is nowhere to be included....
9
votes
1answer
1k views

Load keras model in Java

What are the requirements to load the trained model by Keras in Java? I checked that DeepLearning4J supports ...
9
votes
0answers
1k views

Understanding Timestamps and Batchsize of Keras LSTM considering Hiddenstates and TBPTT

What I'm trying to do What I am trying to do is predicting the next data-point $x_t$ for each point in the timeseries $[x_0, x_1, x_2,...,x_T]$ in the context of a date-stream in real-time, in theory ...
9
votes
1answer
156 views

Synthetic Gradients good number of Layers & neurons

I would like to train my LSTM with a "synthetic gradients" Decoupled Neural Interface (DNI). How to decide on the number of layers and neurons for my DNI? Searching for them by trial end error or ...
8
votes
0answers
78 views

What are practical differences between kernel k-means and spectral clustering?

I've been lately wondering about kernel k-means and spectral clustering algorithms and their differences. I know that spectral clustering is a more broad term and different settings can affect the ...
8
votes
0answers
348 views

ngram and RNN prediction rate wrt word index

I tried to plot the rate of correct predictions (for the top 1 shortlist) with relation to the word's position in sentence : I was expecting to see a plateau sooner on the ngram setup since it ...
7
votes
0answers
92 views

Robustness of ML Model in question

While trying to emulate a ML model similar to the one described in this paper, I seemed to eventually get good clustering results on some sample data after a bit of tweaking. By "good" results, I mean ...
7
votes
1answer
744 views

Input for LSTM for financial time series directional prediction

I'm working on using an LSTM to predict the direction of the market for the next day. My question concerns the input for the LSTM. My data is a financial time series $x_1 \ldots x_t$ where each $x_i$...
6
votes
0answers
107 views

Are there any graph embedding algorithms like this already?

I wrote an algorithm for generating node embeddings based on the graph's topology. Most of the explanation is done in the readme file and the examples. The question is: Am I reinventing the wheel? ...
6
votes
1answer
115 views

Evaluating machine learning explainers?

I'm working on a project where multiple machine learning explainers (LIME and SHAP, potentially more coming) are applied to pre-trained models (neural networks) to help explain the predictions of ...
6
votes
1answer
348 views

How to handle preprocessing (StandardScaler, LabelEncoder) when using data generator to train?

So, I have a dataset that is too big to load into memory all at once. Therefore I want to use a generator to load batches of data to train on. In this scenario, how do I go about performing scaling ...
6
votes
1answer
264 views

Chi-square as evaluation metrics for nonlinear machine learning regression models

I am using machine learning models to predict an ordinal variable (values: 1,2,3,4, and 5) using 7 different features. I posed this as a regression problem, so the final outputs of a model are ...
6
votes
2answers
100 views

how to generate automatically images meshing up different shapes with a deep learning software?

My pursuit is to generate something like a grottesque(a kind of painting producing human-animals and plants hybrids). I need to do something like this painting in order to create an art exhibition. I ...
6
votes
2answers
1k views

Forecasting Multiple (few hundreds) uni-variate time series with inflated zeros

Hello Practitioners, Being a newbie seeking help to gain experience in Data Science. Lets take a scenario where a big company wants to forecast its sales (a specific product) across different ...
6
votes
3answers
109 views

How can we model the class which maximizes the event probability?

I’d like to ask about a case when we would like to predict the best class of some input variable, so that the probability of event will be maximized. For example the advertisement type for a given ...

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