Top "Machine-learning" questions

Implementation questions about machine learning algorithms.

How to graph grid scores from GridSearchCV?

I am looking for a way to graph grid_scores_ from GridSearchCV in sklearn. In this example I am trying …

python machine-learning scikit-learn grid-search
machine learning libraries in C#

Are there any machine learning libraries in C#? I'm after something like WEKA. Thank you.

c# machine-learning
Open Source Neural Network Library

I am looking for an open source neural network library. So far, I have looked at FANN, WEKA, and OpenNN. …

machine-learning artificial-intelligence neural-network
R: How to split a data frame into training, validation, and test sets?

I'm using R to do machine learning. Following standard machine learning methodology, I would like to randomly split my data …

r machine-learning training-data
keras: how to save the training history attribute of the history object

In Keras, we can return the output of model.fit to a history as follows: history = model.fit(X_train, …

python machine-learning neural-network deep-learning keras
How to log Keras loss output to a file

When you run a Keras neural network model you might see something like this in the console: Epoch 1/3 6/1000 [..............................] - ETA: 7994…

python logging machine-learning neural-network keras
How to get most informative features for scikit-learn classifiers?

The classifiers in machine learning packages like liblinear and nltk offer a method show_most_informative_features(), which is really …

python machine-learning classification scikit-learn
Load S3 Data into AWS SageMaker Notebook

I've just started to experiment with AWS SageMaker and would like to load data from an S3 bucket into a …

python amazon-web-services amazon-s3 machine-learning amazon-sagemaker
Example of 10-fold SVM classification in MATLAB

I need a somehow descriptive example showing how to do a 10-fold SVM classification on a two class set of …

matlab machine-learning svm
What's the difference between a bidirectional LSTM and an LSTM?

Can someone please explain this? I know bidirectional LSTMs have a forward and backward pass but what is the advantage …

machine-learning neural-network keras lstm recurrent-neural-network