I want to use minmaxscaler in C. Is there any lite packages or libs for C? Or if any suggestion on how I can implement the minmaxscaler in C?

I am working on ANN. I have 2497 training examples and each of them is a vector of 128, so the input size is 128. Number of neurons in hidden layer is 64 and number of output neurons is 6 (since classes are six). My Target vector looks something like this: [0 1 0 0 0 0]. This means that the example belongs to class 2. I have used sigmoid as an activation at all layers and sum of squared …

I would like to use out-of-bag training/validation with a classifier such as RandomForestClassifier. Is it possible to get the out-of-bag predictions? I want the OOB predictions so I can compute precision/recall on instances not used to train the classifier. If there are alternative approaches to getting the precision/recall, please let me know.

The original code for chapter 4 in Tom Mitchell's book for recognizing face pose from images is here: http://www.cs.cmu.edu/afs/cs.cmu.edu/user/mitchell/ftp/faces.html But it's in C, not that there is anything wrong with that and I guess that's a really good project to try to port it to Python but I am looking for something I can git clone quickly and use for a personal project.

I use python in my day to day work as a research scientist and I am interested in learning C. When would a situation arise where python would prove insufficient to manipulate data?

I have been trying to find the substitute of numpy and perform some linear algebra using C++. Here's a list of the libraries I have encountered: Eigen Armadillo Dlib GNU Scientific library Please guide which is the best library of all and is most widely and easily used. Also explain different uses of different libraries if possible. If I wish to perform some linear regression using C++, which one will come handy?

I'm an R language programmer. I'm also in the group of people who are considered Data Scientists but who come from academic disciplines other than CS. This works out well in my role as a Data Scientist, however, by starting my career in R and only having basic knowledge of other scripting/web languages, I've felt somewhat inadequate in 2 key areas: Lack of a solid knowledge of programming theory. Lack of a competitive level of skill in faster and more …

I am trying to implement a simple C/C++ program for the HDFS file system like word count, it takes a file from the input path puts it into HDFS (where it gets split), processed my map-reduce function and gives an output file which I place back to the local file system. My question is what makes better design choice to load the files into HDFS: From a C program call bin/hdfs dfs -put ../inputFile /someDirectory or make use of libhdfs?

I would like to train my machine learning using Python and libraries such as tensor flow, keras, and scikit-learn. After trained, I would like to export this trained model to a file, so far I have been using the library pickle. I feel that this is pretty standard in any ML project. However, and the point of this question, is it possible to use this trained model (e.g. a .pkl or .sav file) in C language? When I say "use", …

int main() { int i,a[3][3]; int diagonal_diff; int lsum=0,rsum=0; for(i=0;i<3;i++){ lsum=lsum+a[i][i]; rsum=rsum+a[i][2-i]; } diagonal_diff= abs(lsum-rsum); printf("%d",diagonal_diff); }

I am creating a system using C++(DX11) and i'm reading raw data into my program, i want to classify what the 3D data-set i'm reading in is and detect any anomalies it may have when compared to a database of the same types of item. I've not really done much in regards to machine learning aside from simple KMeans and linear regression solutions, what would be the best approach to implementing something like classification and anomaly detection in my program …

Let's say that I already trained my CNN. Is there anyway of my ouput to be represented as a formula just like a perceptron can (x1w1 + x2w2 + ... = PREDICTION). It does not matter if the formula is more complicated than the perceptron one, but in general would it be possible to train a CNN in Python or Matlab, get the weights and create an arithmetic, exponential, whatever formula made with those acquired weights? With that, after training, …

I have started learning data science using R, however I have C++ as a subject this semester, and my project is to predict the outcome of a game using C++. I have not come across many instances (close to none, I did find libraries like Shark though) of implementation in C++. Is it to do with the fact that C++ isn't as simple to use when it comes to manipulating large amount of data?

I would like to implement machine learning algorithm in C++ without using any C++ machine learning library. So I'm writing this initializer function for generating zero matrices but can't figure out how can I accomplish this. I'm actually trying to write C++ code for simple logistics regression for now. float * intializer_zero(int dimension){ // z = wx + b. float b = 0; float w[dimension]= { }; return w,b; } It's throwing error "cannot convert 'float' to 'float' in return." …

Are there any machine learning libraries for C. Specifically interested in unsupervised learning.

Here is my code to implement the learning of my neural network using the backpropagation learning. The algorithms is stable but I don't learn correctly the output. Do you see anything wrong in my learning process? //### Parameter ### #define Nb_entry 2 #define coeff_app 0.01 #define par_momentum 0.8 #define par_nb_test 0.2 #define para_tolerence 0.05 #define para_stop_learning 1000 Here are my learning functions void fonction_neuron(double * input, Neuron * neuron_info) { int i=0; // loop variable double net=0; // Computation of …